Parents (Total: 15)

The searched file hash is included in 15 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
SHA-1	E65F4C6A97100237A0F74E5E2354086B59D2F8C6
snap-authority	canonical
snap-filename	ynpjl4dARh2gD8t8sGKdUtrG4iVgfShr_105.snap
snap-id	ynpjl4dARh2gD8t8sGKdUtrG4iVgfShr_105
snap-name	nova-hypervisor
snap-publisher-id	JwaWKYZ7i2E8Zu1AhiKeRzcVzxXmQbtq
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2017-07-07T19:55:02.608485Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/ynpjl4dARh2gD8t8sGKdUtrG4iVgfShr_105.snap

Key	Value
MD5	6F90D889AA4C8DB47081438ECE469DED
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	1.el7
PackageVersion	1.12.1
SHA-1	3BEDD226F880734F2E7AE01EFB72FD7AE02A5DD5
SHA-256	83B0F0132EC46BEDBD770B807B565DC4D603E4BD977C5956F4E25E42EE372988

Key	Value
SHA-1	68E548EDB822E25B09C0288675B0CCAC922229E7
snap-authority	canonical
snap-filename	AZmHUCXLeOEFw583UP9jcBZyw4URq2Ea_72.snap
snap-id	AZmHUCXLeOEFw583UP9jcBZyw4URq2Ea_72
snap-name	nova
snap-publisher-id	JwaWKYZ7i2E8Zu1AhiKeRzcVzxXmQbtq
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2017-07-11T15:33:25.783049Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/AZmHUCXLeOEFw583UP9jcBZyw4URq2Ea_72.snap

Key	Value
MD5	8C009189374D738736A9BEAAF7B904C7
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	1.el7
PackageVersion	1.12.1
SHA-1	3B9092023D90F3E94A038BFD189332B1E13F7ADC
SHA-256	02F12DB1968A100CA94B2108B9752F9F89FF882186BD98D951B431A4FBEA16CD

Key	Value
MD5	D3D6FF6736FEE858B870660D65F38DA4
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-python36-numpy
PackageRelease	1.el7
PackageVersion	1.13.0
SHA-1	2F2251F1E515458D4BBA830976BD337C7BFE7FB5
SHA-256	9E26604B91759023F6A85AC476125AA850A267E8BEF3BD2FACD3672C8F614850

Key	Value
MD5	79913F8AED1EA8CDB980D5703FBFBB7D
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	1.el7
PackageVersion	1.12.1
SHA-1	89A376363893932DA559CD10BE365D9324A5A334
SHA-256	296509B21BE3405F704770566DE40ECC5F67D7C7DD016F705B408735E60B7544

Key	Value
MD5	E7365AD55F386F3F7C85DC25E9646CF3
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	3.el7
PackageVersion	1.12.1
SHA-1	F4220CAF94D1F6ECE999F20F39974510CBF92A1C
SHA-256	339FFFEA2B1523DA021106BC1C8C48778E1371F7D229A234668D10F961A158CD

Key	Value
MD5	39F3D3DFF705D2555CF90AB236B0F81D
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	1.el7
PackageVersion	1.12.1
SHA-1	753660EE09268590143BFEC77D0574CD37EC0CFE
SHA-256	25FFD2686345D94E6F625287B5685998E767F2F71623E862D950C60E7AC5BC88

Key	Value
MD5	29450144DDDE9CE31CE57D3E0DCEED0E
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	3.el7
PackageVersion	1.12.1
SHA-1	CB656CFEBA1110492A1CB012337C9D8BDB24692B
SHA-256	90AC75FEB4BAFBBAD2A462FC1F430E3644611355D8C9C08309D6E67BBDD215F4

Key	Value
MD5	C1C2437ADF3EC134CDFAED41D737288C
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	1.el7
PackageVersion	1.12.1
SHA-1	E1F4580424CC470D7533204E6E3E43A07B33EF88
SHA-256	874DC7674E1A69FC63AA2AD4A4E13DCA4601AB5F974E8E4770FAD3DC5AE506AA

Key	Value
MD5	E1BF1D102823E2FD7B3EF70FAF964482
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	1.el7
PackageVersion	1.12.1
SHA-1	D3B72ACD21CBAFACF33E5234864C2EA5B12C9B7D
SHA-256	80FD522DE91D948F05F3DDEA15D3B5D1AA48FA707C8E6A07658021C15DEC8F4C

Key	Value
MD5	DA6F5C2043671AEB08592C3F69D496EE
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	3.el7
PackageVersion	1.12.1
SHA-1	F5617464497BB85F3F75430BAADDC6A3DDD824DF
SHA-256	BB521F417262BEEA6394978A021D156B120F8C25F9FDCE8CA6E088E9F2CFDE75

Key	Value
MD5	622573852673C8C77D5877B9786C5C08
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	1.el7
PackageVersion	1.12.1
SHA-1	0EC6C3EA21290C59782D4634AB1E650A866BF697
SHA-256	961139535A2C96904A495B89CBF59A13AC940CD8B07A08FC98867145083F2B88

Key	Value
MD5	2B0266EE61EF88E4A20BCE8268BF1C0A
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	3.el7
PackageVersion	1.12.1
SHA-1	66ED7222D1E4DAEA23F414120B0B8BA6E888CFF5
SHA-256	CCBA0CDF3DBCEC5B135D8E12C3090AAC6D288EBC30A9E33AADDBA411922779CD

Key	Value
MD5	156D0345EA7E630030A1446A47707F10
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	1.el7
PackageVersion	1.12.1
SHA-1	8B0655197DA77B25EA1C2F917619828E11E4C47A
SHA-256	E456F3DB79B477920F275C8042698D68241CC5BB3A24253181FE2B2AF2C97E30