Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	A43F08648AB3DA68C12685E3C8C19328
PackageArch	noarch
PackageDescription	When reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageName	python310-smmap
PackageRelease	34.17
PackageVersion	4.0.0
SHA-1	4CF7C07A7C773CA108E18A63F784902A3F5B8198
SHA-256	71BC0CAF2EE377772343C244FDB94C9DF324200FDDE1DAA242712581A15DD81B

Key	Value
MD5	CB60F3DAE6A736B5C13203437DE88F94
PackageArch	noarch
PackageDescription	When reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageName	python310-smmap
PackageRelease	34.16
PackageVersion	4.0.0
SHA-1	6AF8835AC3D6E51BCC3E161D8FE30FF151FE9C96
SHA-256	952632CE80BF0C066BF5F3A1C4A98DC0FEA74329D05134810531A9D491AE389F

Key	Value
MD5	3255B8A8229340EA7CEBC8656D7B477B
PackageArch	noarch
PackageDescription	When reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageName	python310-smmap
PackageRelease	34.24
PackageVersion	4.0.0
SHA-1	4013901D5643C719EA12E9838271AE830F54AB23
SHA-256	8F6D989CD335A6B5651546552F89EF0F94E7141318FED6162215D00F90CF9A37

Key	Value
MD5	7E98806FF5617BBA060C9CD43BC8C661
PackageArch	noarch
PackageDescription	When reading from many possibly large files in a fashion similar to random access, it is usually the fastest and most efficient to use memory maps. Although memory maps have many advantages, they represent a very limited system resource as every map uses one file descriptor, whose amount is limited per process. On 32 bit systems, the amount of memory you can have mapped at a time is naturally limited to theoretical 4GB of memory, which may not be enough for some applications. The documentation can be found here: http://packages.python.org/smmap
PackageMaintainer	https://bugs.opensuse.org
PackageName	python310-smmap
PackageRelease	1.4
PackageVersion	4.0.0
SHA-1	3B97048D7E199839CD3AA63F9D581527B9FBE04C
SHA-256	BBD2E060CDE687CEF3AD3EAA10B9169918E2DFE46A7B460C454A8325941279E1