Parents (Total: 42)

The searched file hash is included in 42 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	F19E71F06D27E3305B1B4CAD9D06F7B3
PackageArch	noarch
PackageDescription	Documentation for package elements-alexandria
PackageMaintainer	Fedora Project
PackageName	elements-alexandria-doc
PackageRelease	1.el7
PackageVersion	2.19
SHA-1	0414D6AE8CBA4D507C9F2FEFC1D271BEE4054EF5
SHA-256	35F20AC26EAA728CDD4A414D8A501B29EEB2D3EF0F28D9648D67AEE87B09507D

Key	Value
MD5	8500E090D93ABB536727EC358AA6A8DC
PackageArch	ppc64le
PackageDescription	mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the Doxygen-generated documentation for mlpack.
PackageMaintainer	Fedora Project
PackageName	mlpack-doc
PackageRelease	1.el7
PackageVersion	3.3.0
SHA-1	0649F9774CC719B07D00310FA65A705FBA6AD36E
SHA-256	9DB007F997C0C7DC5E0CD0E0F5E770655835B6ABF01D29572906C5D2ED8EF9AE

Key	Value
MD5	B23CDEC47BD817954657569B4B51B2A5
PackageArch	noarch
PackageDescription	Documentation for package sourcextractor++
PackageMaintainer	Fedora Project
PackageName	sourcextractor++-doc
PackageRelease	1.el7
PackageVersion	0.10
SHA-1	07D82EC43A29CC357F35F5504F9BEC35DB2CF224
SHA-256	99BA49B3F4E280C8826A612C678F22D58D047900F271451733B113E97F530E13

Key	Value
MD5	4281C929351E7391D7D70224922A53CD
PackageArch	x86_64
PackageDescription	This provides documentation for programming using the LibreOffice APIs and examples of creating extensions (UNO components) for LibreOffice.
PackageMaintainer	CentOS BuildSystem <http://bugs.centos.org>
PackageName	libreoffice-sdk-doc
PackageRelease	24.el7
PackageVersion	5.3.6.1
SHA-1	0889F3274D0CE852E8E1BAB03ECB3E57E8608257
SHA-256	A7FB6E480B7AEA071D0F5B2D5C3707677C7B934F12CF711CAC65E35383744EDF

Key	Value
FileSize	21303598
MD5	C7A1E7413024364B2F75C14F6756493F
PackageDescription	GRASS GIS Programmers' Manual Commonly referred to as GRASS, this is a Geographic Information System (GIS) used for geospatial data management and analysis, image processing, graphics/map production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many government agencies and environmental consulting companies. . This package contains the HTML version of the GRASS Programmers' Manual.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	grass-dev-doc
PackageSection	doc
PackageVersion	6.4.3-3
SHA-1	16B869B61CF222D7AA613006002DF4A69AE5AF4A
SHA-256	C588AE106310ACA416DF40B42317E6431D3479ABF4D10349BF13576738B4AF55

Key	Value
MD5	FA4EF334A80D6E5D15225E7B1348D3CA
PackageArch	noarch
PackageDescription	Documentation for package elements-alexandria
PackageMaintainer	Fedora Project
PackageName	elements-alexandria-doc
PackageRelease	1.el7
PackageVersion	2.16
SHA-1	1EA0C39B2B0F5984F554E528D399ACDE04FBD296
SHA-256	66EE376004B87AB97463D81DBF662C6EF55A4CF2EBA5DACC8428C86AEF7F681C

Key	Value
MD5	4BFD482A458E1CDCBCAD60C01029B997
PackageArch	x86_64
PackageDescription	mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the Doxygen-generated documentation for mlpack.
PackageMaintainer	Fedora Project
PackageName	mlpack-doc
PackageRelease	1.el7
PackageVersion	3.4.1
SHA-1	290A452116FAAC50645253C627F45ADF350AACC6
SHA-256	1BA48910E2DFF7D9610A85681D255387A3EF19726A3F7872319B7C709A00B23E

Key	Value
MD5	33E1A3A78A820039EF8371AD0F60B890
PackageArch	x86_64
PackageDescription	mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the Doxygen-generated documentation for mlpack.
PackageMaintainer	Fedora Project
PackageName	mlpack-doc
PackageRelease	2.el7
PackageVersion	3.0.4
SHA-1	2CE03A59A889F78BF342D033F276E5869E3F4B54
SHA-256	B933CA52D1FF3C7F01B52EDC77BCF22BBD8FC74FDF7E0EFC9F1EDE12DD00A46D

Key	Value
MD5	58A6333F1ED3A41D798BD194F989CC2D
PackageArch	noarch
PackageDescription	This package contains the automatically generated ROOT class documentation.
PackageMaintainer	Fedora Project
PackageName	root-doc
PackageRelease	4.el7
PackageVersion	6.16.00
SHA-1	30E6ABE7D7BB6239B85FE85DE4580CE5CE4B08AF
SHA-256	26FF5308200ACC7FE7A8C018A1F1DCF113A5B3A44D39DD7C586A9BBB21C0CDFA

Key	Value
MD5	5A192232E197CF8AB9DC9E72E6B2E0C0
PackageArch	noarch
PackageDescription	HTML documentation of engauge-digitizer.
PackageMaintainer	Fedora Project
PackageName	engauge-digitizer-doc
PackageRelease	4.el7
PackageVersion	12.1
SHA-1	321536D55DF6D779BA0AFD84EA9292CDC14F413C
SHA-256	DC847FE4921B2E889A899EF763F82F07DB8BE4FD2A2EB5E065EF0CE64F12F7DB