Parents (Total: 90)

The searched file hash is included in 90 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.5/packages//amd64//py3-numpy-1.14.6.tgz
MD5	CA0D91C7E61E9D29713733D9A8C16B77
SHA-1	0243B5F900EFB5EEF8F2F6B613C2F5D84D916E6B
SHA-256	6017BF2DCE35291A378539F4A927FE358B848DDE57B6C4CBDD95DB65FCAA23F8
SSDEEP	98304:DwJVYp/+pv8gyypfdqkK1cQD8G1EVowbpCus27/eb/6N9sMZmj6VCJzGBhzU:H14v8+pYNcQA0CbkusqAy91IWCGBu
TLSH	T1671633EC1B48DDFD57CF16732DDBA091270451B3B9949B3B363EAC850EA2524A98C27C

Key	Value
MD5	DE6E761B000D4B0344A493309D581C46
PackageArch	aarch64
PackageDescription	NumPy 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.
PackageMaintainer	CentOS Buildsys <bugs@centos.org>
PackageName	python3-numpy
PackageRelease	10.el8
PackageVersion	1.14.3
SHA-1	024CA925362109718B8C3F1422FF762C7A4B5BE7
SHA-256	F53CA0232CA19F4AC16558E9AF35003D737660B1D27CABECAE09CE471926F4D0

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.4/packages//arm//py3-numpy-1.14.5p0.tgz
MD5	544B54DD0E57B8F8B92E2E384EC1573E
SHA-1	04A66FB41204481FD1ACBAAF411D08E13678C3BC
SHA-256	657189DD58D9E3BC05A52FA8FD4A5CE397FE4C5E8A731A1E4D9668B352ED088D
SSDEEP	98304:nGJoZakfdKyF9Zs1rWHcusjRWHWeJF9K6X+JTMMIleRac0fN1:GJo4ydKyvi1vus0jFg6gTIUhO1
TLSH	T1111633D6366903F954543BF1F3A154DB0F211BAAC0D52CA98AB6EC92F37F921380D639

Key	Value
MD5	5B4E741EA6D229ECFDD3B4358695DA1B
PackageArch	x86_64
PackageDescription	NumPy 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.
PackageMaintainer	AlmaLinux Packaging Team <packager@almalinux.org>
PackageName	python2-numpy
PackageRelease	16.module_el8.4.0+2154+0b56c8de
PackageVersion	1.14.2
SHA-1	055926B9B812F7958248EC6D78ECFE340B9C003E
SHA-256	E369B5F1AFDBA66C7D4A75352E9FC3A578C8F5EEFCD8C2F7039CA06C4EEB031F

Key	Value
FileSize	1889404
MD5	801DA3AE525D85E09047ECFD12568803
PackageDescription	Numerical Python adds a fast array facility to the Python language Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-numpy
PackageSection	python
PackageVersion	1:1.14.5-1ubuntu4
SHA-1	0763D2CFDE2606854F6EEB889D8F8E2B0A74B11F
SHA-256	D18A6042622896EC9DFE82C964DBB7472B8D636F4430ACF858AA67396EEF05FE

Key	Value
MD5	98CE6269F7C957E2B3D22A5128F4C103
PackageArch	x86_64
PackageDescription	NumPy 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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageName	python3-numpy_1_14_0-gnu-hpc
PackageRelease	lp150.1.69
PackageVersion	1.14.0
SHA-1	0897E527E1F17BA32F729CCDC0C95D71132F0E35
SHA-256	DC53FE0B0C962514D8338F2013736F7CE7D729A9AA3D6E85E659145E0C034D91

Key	Value
MD5	8733789612E5801D49E02B65B1FDD4C7
PackageArch	x86_64
PackageDescription	NumPy 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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageName	python3-numpy
PackageRelease	lp150.1.49
PackageVersion	1.14.0
SHA-1	0ADFBB676206CDA971C8897EB4222969B77E7515
SHA-256	970E564BEF04C7D172092CCB3DAB55CF24EB9C8B13705EB36BDDBD55A51CD4CF

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/6.6/packages//arm//py-numpy-1.14.6p1.tgz
MD5	252585E5C2DFE782D1DC03FFE4FCEACB
SHA-1	0DA7384A573918B38BA2BCFF527C764A23B73636
SHA-256	FABDE020EE3BFE15FA702042BF809EC7997BD8C089B5161DD6DB8B60F03E0496
SSDEEP	98304:i2B4C64zHvQvXBMDWwSx/jiQpcWlLis7GksiEGcNgzgiHnAKq0yBL:iFC6uvQJMDWwwrJrRisCkFdohbNB
TLSH	T19B16335DBADF31EE34433EB6D2502561438593CEA8ED98F2DFE1AF190A979137280790

Key	Value
MD5	BE514317F2A02F50E4378D97E5E65D0F
PackageArch	x86_64
PackageDescription	NumPy 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 which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageName	python3-numpy
PackageRelease	lp150.3.1
PackageVersion	1.14.5
SHA-1	138F107458C662136C4ADAE511787300B3FEE3C1
SHA-256	864436C2611CB5D6852888E566AE1CE4AAD9B83F6F7A3E73FD21FF6CE34E9573

Key	Value
MD5	7C605A81DCBD058C25B4A2785E1EFD39
PackageArch	x86_64
PackageDescription	NumPy 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.
PackageMaintainer	CloudLinux Packaging Team <packager@cloudlinux.com>
PackageName	python3-numpy
PackageRelease	9.el8
PackageVersion	1.14.3
SHA-1	14D80C573633511ACF752C261D66C458A68AC84D
SHA-256	0C3CBC8674C6FAF7626483F50C5F93633F5F912605B24415708C4DCE57B14D46