Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	111CAFBA9687B7BC89020E62858BFFAD
PackageArch	armv7hl
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	1.fc15
PackageVersion	1.5.1
SHA-1	10D40862A63E26289FCBDB99DF3C74CD4A3B1083
SHA-256	BA62E1C52F04EA160292A89B4A6668BFEB4A935114002FDAC564895A1767337B

Key	Value
MD5	5B9C17CD3D5B6001DA3DE2AF828BD44C
PackageArch	sparcv9
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	python3-numpy
PackageRelease	0.3.fc15
PackageVersion	1.5.1
SHA-1	1ABE783A4B4F6596C28C6068C1EC3EEB7EE6B290
SHA-256	7834CFD80B264B0BD4255B2163017AA53FABC66F76BE741C9B408A71476BEA1C

Key	Value
MD5	FBF10AD580803C3B3B343430CEFC2966
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	python3-numpy
PackageRelease	1.fc15
PackageVersion	1.5.1
SHA-1	25FF27D5691DF5F5B60959A68C8B650F42B4E892
SHA-256	125A47CF9F58E8DA9B43E89038A9CD3AEA8427CDD101887E6EAE43FF833E3BF5

Key	Value
MD5	34B5C546627AD261F8D2E6612C9837F3
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	1.fc15
PackageVersion	1.5.1
SHA-1	3D6AC7F44DB3F8B74A3F8C765D64AFC1CF0402B5
SHA-256	46514B108AB3C368758CA26FEDB62D1163E383DABE9AA54FE55E46E37A78764A

Key	Value
MD5	31AD46D418C96BB3349813703E0DB931
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	1.fc15
PackageVersion	1.5.1
SHA-1	4A6BF24A355798E8C60EFE8F32F3E68C4241399C
SHA-256	744F9AED5B462F852D214465E1C6537FF7433CCD081D554F44E6F269E89AFB82

Key	Value
MD5	469203E0BDCDC5234B4C4A56B661F64F
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	1.fc15
PackageVersion	1.5.1
SHA-1	619291A1C44DCA95A0F036CED41CC8C1140D19E0
SHA-256	F8F929892BB436953D598FCEDF5140AC0700A5F3FC5E409B86539A7854E8616C

Key	Value
MD5	95AA40B34C70C506D1DBD203B78B1887
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	numpy
PackageRelease	1.fc15
PackageVersion	1.5.1
SHA-1	63CB1C57F4A05A0AC45123DDBA71F0DFD342D502
SHA-256	CE0B083ACB1712F231E29A571839C4565CEEA7E8D7D2368326DAA04C128D3AF0

Key	Value
MD5	E55249D763F2929E94366498C88B8D6F
PackageArch	sparc64
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	python3-numpy
PackageRelease	0.3.fc15
PackageVersion	1.5.1
SHA-1	7153ED077A9725C60C00ECAA93AA22ABB417839A
SHA-256	15035F48E69656F19B8CA08973C28C8CD32E702DBB82B5435614313C6FB36307

Key	Value
MD5	6F0EBBBE0347CEB0DE32078508905A1E
PackageArch	s390x
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	1.fc15
PackageVersion	1.5.1
SHA-1	9B479499B86CB903C8D7EEEBB52291052E5C079E
SHA-256	F30869D32FB15881E39F0CEF32B4A08B1630AE617390DC8AA682500F5EA5DEC5

Key	Value
MD5	A3DE49830DB693F2C4251DAB93127C72
PackageArch	sparcv9
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	0.3.fc15
PackageVersion	1.5.1
SHA-1	9FAE46F7455546456107184C378ABC37D390C293
SHA-256	E86FCFA794772B61635A678EDD1B301810B24E21E9B4149387CC72541135E36E