Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	37A6B6A1B2DDB90F650A83073DF78C4F
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	python2-smmap
PackageRelease	lp150.1.2
PackageVersion	0.9.0
SHA-1	7C28A817202A08879D211E08EF1B34AB7DCBA4C6
SHA-256	C070CD53E0451646C8820CBF0C8EA35E96B7DCF47A89AE3FC8F79402F569D9EA

Key	Value
MD5	B93981310D22F405348E08B6F7AFB9B0
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	python2-smmap
PackageRelease	lp150.2.1
PackageVersion	0.9.0
SHA-1	F5B4B23AF76810C80D0FE2D13C656E8F945C2CD0
SHA-256	57A93D5B4528439D826F6A9E592AF7B176007180CCDF9644EF092B24F55236B6

Key	Value
MD5	F351F32580995BC846BBA3CF98A2E2BE
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	python2-smmap
PackageRelease	lp150.4.2
PackageVersion	0.9.0
SHA-1	5AA071CC4F5DB01CEE38B1DFCC9B717161F46032
SHA-256	EE5968C9277E943CD420BB9C7075866E3E7D5796FA31DE29BC7D434C6F7582A9

Key	Value
MD5	821147C382A631DB7E7D564BB9B5FDE6
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	python2-smmap
PackageRelease	lp150.1.3
PackageVersion	0.9.0
SHA-1	900B1AF8848205E37048E72622536B7822C20BBB
SHA-256	3BF7805B40DD6DAB92B5C5F4F01D8D9FA625BA4C2B46C5187A235F1FA8AF8527

Key	Value
MD5	237CDE86DE010DCBF61311670F955DA6
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	python2-smmap
PackageRelease	lp151.2.2
PackageVersion	0.9.0
SHA-1	EDCAD95B9FDD8DC7BAA1C653B21DFE8E591676F5
SHA-256	835B92BE4A56A2594750BE455C289802D09E804B5348F6C6658888FAB06E6F75

Key	Value
MD5	934B473498E504A77EF914A71BD91606
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	python2-smmap
PackageRelease	lp151.1.2
PackageVersion	0.9.0
SHA-1	105EA8B7002D22CDEC6FA751754BD8F3B86362C2
SHA-256	D843749FDB70B81137F80E659CD44632FD81583FFFAB1E3EF5AF55A1E8ECA598