Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	18AEB0FAF9C0B7E3B2939EAE20FEB7AB
PackageArch	noarch
PackageDescription	libzip is a C library for reading, creating, and modifying zip archives. Files can be added from data buffers, files, or compressed data copied directly from other zip archives. Changes made without closing the archive can be reverted. The API is documented by man pages.
PackageMaintainer	Fedora Project
PackageName	mingw32-libzip
PackageRelease	3.fc34
PackageVersion	1.7.3
SHA-1	C0D2578E3236CBE025F5FFCF1542320CBDB845F7
SHA-256	949B275C4F2B760F6732330B9B4E98FF6E7FAD7CD96549C3EBC51C8DF05A0326

Key	Value
MD5	E6A0CD385B4B9866A73425188D84053E
PackageArch	armv7hl
PackageDescription	The libzip-devel package contains libraries and header files for developing applications that use libzip.
PackageMaintainer	Fedora Project
PackageName	libzip-devel
PackageRelease	4.fc34
PackageVersion	1.7.3
SHA-1	168B576A35DA04E137F85E58BAC3155F00078D99
SHA-256	24069A518CC38853147066EC5198951550ED35A143A285551491A46E2B63D5A1

Key	Value
MD5	C6F662BF0CF8580F2021FEE336B91DE9
PackageArch	i686
PackageDescription	The libzip-devel package contains libraries and header files for developing applications that use libzip.
PackageMaintainer	Fedora Project
PackageName	libzip-devel
PackageRelease	4.fc34
PackageVersion	1.7.3
SHA-1	1ACF0C850AFFD17A5949636E1F2D2C5CC4FD306C
SHA-256	5C0281C9EEA96A1A5A2DBCA0B4A87DB896DD4A62BD39DE651507B69D6EB3CD4A

Key	Value
FileSize	1024428
MD5	0C4113BB49A1457A9CB0CA1C902B5839
PackageDescription	efficient similarity search and clustering of dense vectors Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	386BA5DEE7B1FB415A217F69909A926C2B7E33B4
SHA-256	20FD731EB03EC92E8204E84378CCD9C492AD9DB8DE643A54169DF6A9E4D899AE

Key	Value
FileSize	1017072
MD5	8D986C827E15B9CFC2A1156D4495852F
PackageDescription	efficient similarity search and clustering of dense vectors Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	A42AC5EA2FE2337C764B0F334E03CE220754E7BD
SHA-256	1BEB9587DE597452CFEDBC42A61A5DADE52F2AC4CEC3A937F860C068C8658FB6

Key	Value
MD5	84D66A30127C39A4AC0CE4F351AC2D06
PackageArch	noarch
PackageDescription	libzip is a C library for reading, creating, and modifying zip archives. Files can be added from data buffers, files, or compressed data copied directly from other zip archives. Changes made without closing the archive can be reverted. The API is documented by man pages.
PackageMaintainer	umeabot <umeabot>
PackageName	mingw32-libzip
PackageRelease	3.mga9
PackageVersion	1.7.3
SHA-1	3BF032C195EB1CFD69F3B330ED507247F6D2165A
SHA-256	20CF6C03D5F74CDBC75B7B190200F77059EB41962F68CA7670B3BAFBA2C1DE3A

Key	Value
FileSize	1147556
MD5	0DD43A908AC58E4C23AB06B29F1FCBB3
PackageDescription	efficient similarity search and clustering of dense vectors Faiss is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. . This package contains the CPU-only version of the development files.
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	libfaiss-dev
PackageSection	libdevel
PackageVersion	1.7.3-2+b1
SHA-1	E4085CBD06A7C751BC3B4915DDC7CACADE03097D
SHA-256	1A9C8B52FF284A9B2C91E4DC9FD00C072E64355FC495D95D77AD1BC5C1091EAB