Parents (Total: 113)

The searched file hash is included in 113 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	F3972ECC5055016D4EB99CD77C361CC4
PackageArch	armv5tel
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	Fedora Project
PackageName	numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	0586AFA2243CD67F3690A9102E048C5E05CB3ACF
SHA-256	EEF1EEA9E457544EB923012B5238A9AD80F31CC769D06FB86C2B7EAD4632F7DE

Key	Value
MD5	B07E2281A03035A701C5EA61C7C4016C
PackageArch	ppc
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	Koji
PackageName	python3-numpy
PackageRelease	2.fc17
PackageVersion	1.6.1
SHA-1	0E0FE784D3D217F9D72D444E17AE47A274653074
SHA-256	2C4AD94501D7176201A8A3BDBC115D750ADB40138968A1652D7CC6CB123FA58D

Key	Value
MD5	BE151B92F041AE9666E7AAE7B6C9F5DD
PackageArch	ppc64
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	Koji
PackageName	numpy
PackageRelease	6.fc18
PackageVersion	1.6.2
SHA-1	0FEF662C99066C4EF033CB375996823556402C41
SHA-256	B77AC77374D29FC5E82947C936BC6EF8C5BB6423F1DBF6D71522346D2D43546C

Key	Value
FileSize	1821624
MD5	6820E6EA06471F2283C414EFF61E4569
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	1:1.6.2-1ubuntu1
SHA-1	119D469D134D7C3C5D37A54AACB1EBA1DFCDCE20
SHA-256	5F7F245088BE3B80C1D280800CC739FC53284E92335525A5657C9AACCBAE5962

Key	Value
FileSize	1707306
MD5	8F88F325D9D3FC5EDA4939B788A4511B
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. . This package contains Numpy for Python 3.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-numpy
PackageSection	python
PackageVersion	1:1.6.1-6ubuntu1
SHA-1	15F1ACEF6BEA16956E0D6AEC4AF27629F7B3670C
SHA-256	A5FA6DC231FF839F067F7D7F63475FD9379E90787079C3F9D06999B53F0E3DB3

Key	Value
MD5	4BD937C7D23F855ECABF002542A6C7D5
PackageArch	ppc64
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	Fedora Project
PackageName	numpy
PackageRelease	2.fc19
PackageVersion	1.7.1
SHA-1	1A90E3F2E1FA4C679698B46D6266CB8BCEB228C4
SHA-256	339263032B85E2322FD124F6545110102D0976CC489858841647C81BE6957EC2

Key	Value
MD5	42341D71F23F1D15DD244B01BA94D277
PackageArch	s390
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	Fedora Project
PackageName	numpy
PackageRelease	2.fc17
PackageVersion	1.6.1
SHA-1	1D38A8960B145DE67C2CE623C7ABAFC96F9976E0
SHA-256	871450E3D2EF3F020355D7A6BB2B465DEC85045F1468A9AC10926C4F0D4187E4

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/5.5/packages//powerpc//py-numpy-1.6.0p4.tgz
MD5	4251E12B0427BBC629FD9304D42B0B98
SHA-1	22941B763DBE7427EC798F41EC62B6C4F3CE246E
SHA-256	17679D750636E3F12A2BADD68062DD341089DA6F6E0D2D1D6C9D9AC485B4A85A
SSDEEP	49152:sNQ3kYAv0r28F/iXRqdacLYp1Szl0EaKh5u1QoC+p7UVKAr9AMl0wS6E:sNQ3ZAvO98Rq1LYp1D2hN8pYVKAe2B1E
TLSH	T1BFD533B3628A7156C09C48C13D281CABDD3607761CF791EA2B049A0DECA95C67FDF9B1

Key	Value
MD5	A8624F0ED48BD4AFBAD3D3C766D77DE2
PackageArch	ppc64
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	Koji
PackageName	python3-numpy
PackageRelease	2.fc17
PackageVersion	1.6.1
SHA-1	23E0359C94EB873D68565614B3E47257A043B0DF
SHA-256	7B7C4F6ED29FEA4ECDC2D502C751109925F155ADB2F722860AD5B21044D0DFF9

Key	Value
FileName	https://ftp.lysator.liu.se/pub/OpenBSD/5.5/packages//mips64//py-numpy-1.6.0p4.tgz
MD5	662FF626263B2F9CBA76ADD3FCF8AD0F
SHA-1	27E51AB99BA5D7EDB34A24A405915CAFEC6D80C1
SHA-256	F1D906E010598AA8B4DBA3B8BCAFE0A4E6533FD020BB91CACE4F7C10D07B976C
SSDEEP	49152:Iv83uoKIUj0H83Xt++x060dlEGR73xLmamWpCD93gt9dEUAoKdxEwKugBm04Pvx7:e83Nqz+1dlEGRBBmWpChK7EznxLCs7P5
TLSH	T1C3D533DFB9AC9DDD08A04B3E98E4F6420EF51D258D7D5FC0A10F90B2A84526FE272D85