Result for 033C1CA197747C4BD55BF9154284E63E547E5388

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/numpy/distutils/system_info.pyc
FileSize83382
MD50F0B0C6923CDFB366C52741C70267C26
SHA-1033C1CA197747C4BD55BF9154284E63E547E5388
SHA-2562FEF072BFC908D13724CC445F14312CF738DAE96D56484F7367C3FC005B3AA28
SSDEEP1536:CXe5HvbPZeNAsZUU/aEpZWvjgADLAeqGFIThkigsCEWNDv6qzCETCEKLtORE17j:Oe5HvbPIQIaAZWpDLAeqDThkigsCRNbe
TLSHT1E7836190A3E40E93D29406B4E1F1114BAFB5F4676305675136BCA53E2ADC3B9CC3B7A8
hashlookup:parent-total8
hashlookup:trust90

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Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5015195D64EDA39E78A86856A15181EF2
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.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.5.0+743+cd2f5d28
PackageVersion1.14.2
SHA-19C8B6041F82322ED9D07C9A8B04086C5BC5AFAE2
SHA-2563BECBDAB5D73056E3B4E5AAA4723DF20A822E47D236EC7908E87A5F19651B1FF
Key Value
MD5E3C3BEF1B067F224FE3E5A78784E38C9
PackageArchppc64le
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.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.5.0+743+cd2f5d28
PackageVersion1.14.2
SHA-16FA1FF4610CEFF0841DF8FB75A45E8D791CF1133
SHA-2567DEDC7F0F6048F50C61F74FECC214183421590E5EED8D630004ED827D465E1B9
Key Value
MD55B4E741EA6D229ECFDD3B4358695DA1B
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.
PackageMaintainerAlmaLinux Packaging Team <packager@almalinux.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.4.0+2154+0b56c8de
PackageVersion1.14.2
SHA-1055926B9B812F7958248EC6D78ECFE340B9C003E
SHA-256E369B5F1AFDBA66C7D4A75352E9FC3A578C8F5EEFCD8C2F7039CA06C4EEB031F
Key Value
MD5596F8B3E0A8B4C66CA031D5BBFB7835E
PackageArchppc64le
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.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.4.0+642+1dc4fb01
PackageVersion1.14.2
SHA-1DF417B856764F552F8FBA7EBE8ED9F639356F85F
SHA-2565F611FD993E72A84C5DE76E4A3B8F96ACB0F17A310FE7862D227B05DA76F80F8
Key Value
MD582AFDF1EE6CF99F58D94EE74CAA9E19A
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.
PackageMaintainerAlmaLinux Packaging Team <packager@almalinux.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.5.0+2579+77770ab7
PackageVersion1.14.2
SHA-1DB7FF91E3C78118EC9243267D3FB0ED79EED5082
SHA-256B6349095CA7CCC516488CF6D24EB85C0EE508C309C1027F10659A9D7346F8A5B
Key Value
MD59F4F6BF0472F8A01F3F33460D18B20F6
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.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.4.0+642+1dc4fb01
PackageVersion1.14.2
SHA-1E9F158369953BFCDA0BB8E49891D76E5C79A7E36
SHA-256E12E9F379290E14BC9CE779AEF6D8ACD8C705637BD664722AC3E05CCF78B5B2C
Key Value
MD534D032609E4139D92A2DBC0B1676897F
PackageArchaarch64
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.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.5.0+743+cd2f5d28
PackageVersion1.14.2
SHA-12117F45CE0CC1FF4A7BB3F74B9C2679DFBFCBF5B
SHA-2566427C45499555641A88605E2DC649189B5887B2EB908C34CF34230DD6DA426A2
Key Value
MD50E465A60EA2BFC8B854411252E0790C3
PackageArchaarch64
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.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.4.0+642+1dc4fb01
PackageVersion1.14.2
SHA-1907D5C5AED9EA2BF3FB7C69CCE53911AED1D4509
SHA-256A211E6C3D4308AE5E56D333CDF0AEC637FE126A09B70F694491F029EDE153F6D