Parents (Total: 11)

The searched file hash is included in 11 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	5B39D23F85BC5D8B6A924610D7F6EDFE
PackageArch	ppc64le
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.
PackageMaintainer	Fedora Project
PackageName	python34-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	C57669190E1D38925CC5F4D814F7DC87C6C152F8
SHA-256	83AEB06672570F37D8144BD4B4BC600C16DCF811F351E2777BE3F82F4559142F

Key	Value
MD5	96F1E09D933D373B32E122AE47C30A69
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.
PackageMaintainer	Fedora Project
PackageName	python36-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	B1CCAA7A355D9E011C723E3E00B47E8446A7886C
SHA-256	FB2DEBC3E677C4BABA71F9C43D29A4E385AF2D7FB2533258136DE29C102403E0

Key	Value
MD5	F3D0ACF4935B1B8F2066C0521F325F84
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.
PackageMaintainer	Fedora Project
PackageName	python36-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	6C60DFDCE9572BC86A49FE9E3FFC02E0555D2A2A
SHA-256	CEADEA5F1972E94D8966C76B7CA4FC27EFCD0B300AE1D5D3006AE43BE9028FB8

Key	Value
MD5	D0A101FFC0F3BF6E2FD901F2467C937A
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.
PackageMaintainer	Fedora Project
PackageName	python34-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	BA1B21EAAECD3142F467D26CB1226A93A51C9DE2
SHA-256	6EAF5E559001389375E0D0EFA76AF24C0EB5292361D88EE3A8428CB45C42751E

Key	Value
MD5	DDE5F9FD6C49C19FAAD5BB5097437261
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.
PackageMaintainer	Fedora Project
PackageName	python34-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	D0D8C8E27A9D4FFF267ADD822C85DCDC9061D309
SHA-256	C9D965B99E03D086D84DDC23CB06EF23C585ADAA6E459C47B43DFE2AF3246D46

Key	Value
MD5	4C3223F997EAB0F0017D2C36308FCC0F
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	CBS <cbs@centos.org>
PackageName	rh-python35-numpy
PackageRelease	4.el7
PackageVersion	1.10.4
SHA-1	F5FDE2C7509F0AC2AD36694B9DA1ED2408C82314
SHA-256	64CBEEAE1CC487AAAB51EC046714E5DF80C28540F897096A19F3AF6F54987D77

Key	Value
MD5	98C2D23AE8626687A46F08BD8DA65635
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.
PackageMaintainer	Fedora Project
PackageName	python36-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	6A46B1CA0C80AD2FC9A8DF05451E9BD13C7104F9
SHA-256	14CFA64D82764CC7EA25F19B74A1C8B41DE4D2D28E1CC82F2692E7AB628A7B6E

Key	Value
MD5	78133D1457A5BDDAE3A3A32EBB3FC147
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.
PackageMaintainer	Fedora Project
PackageName	python34-numpy
PackageRelease	6.el6
PackageVersion	1.10.4
SHA-1	D4EB92D23EE3CDB4F0E17E4A867CFCEDBB0448BC
SHA-256	AD1D92118A3797FA00CD9D4C4A6DCF8E588045EF53BF53FB21B6C0FAAE6E27C7

Key	Value
MD5	774C11CFA31222E53F17845F59EE11E5
PackageArch	ppc64le
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.
PackageMaintainer	Fedora Project
PackageName	python36-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	28A2DBFF1670ED40E2BB439C14460D8E24BC8068
SHA-256	10A73526FD643A3DFD145751C12AE41CBB8E654D97138AA3942CBE7DE29CFD26

Key	Value
MD5	0267040506935B71B39F889A79C4F73A
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.
PackageMaintainer	Fedora Project
PackageName	python34-numpy
PackageRelease	6.el6
PackageVersion	1.10.4
SHA-1	35C364D01C21E3C3136991BDE99C1966ABB19353
SHA-256	559EE4FD1BADFBC54A48E429A18F220829DEA69858436CF695BBCBE6BA65C007

Key	Value
MD5	1E79F24F1CE2383809BA0458F954C643
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.
PackageMaintainer	Fedora Project
PackageName	python34-numpy
PackageRelease	7.el7
PackageVersion	1.10.4
SHA-1	17672A0EDC2E9E0C83FED6BC39A2F15D022B1EBA
SHA-256	E770185F352B907E2CF9FDF63655E53B11C4226E938CE1C687DFA3050DDF2FA4