Parents (Total: 18)

The searched file hash is included in 18 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	034E4B9231B41614EAA50B8273E4092D
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	python3-smmap
PackageRelease	lp153.34.3
PackageVersion	4.0.0
SHA-1	0853580031AE6B8299203CDA49225180D2D94793
SHA-256	71F0BC4129BF202E53D76F91273538FEA9C4559A05FB74AE8CF35200D97FAA6F

Key	Value
MD5	36177082E0C6AAE3DE9FE88FAA5FB02C
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	python3-smmap
PackageRelease	lp152.2.2
PackageVersion	4.0.0
SHA-1	0F18B6AD5FC3BE351BC8E53BA21F7341ECA4E873
SHA-256	72FFC9CE1D3513A203803C6A3425B435A40B061228094BF754AC96E731A56141

Key	Value
MD5	9FA8491CDD64017464EF7D53A2569620
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	python3-smmap
PackageRelease	2.2
PackageVersion	4.0.0
SHA-1	166C1F5715DDFAF88C4FE6DE0E17FD2DE2B96BED
SHA-256	670F9B19EF7213C53BAB75A6164A964BCB8747E207F85B92A244D37F4CAA08A2

Key	Value
MD5	3922BE787A4ED4A48C9EB92F0821909F
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	python3-smmap
PackageRelease	2.3
PackageVersion	4.0.0
SHA-1	18184044F6B23570139F86366D1A9A89C362ABAE
SHA-256	7208B6D7A9FACEAD9FDD68CEB9CDDAB473C0BDF57649DE8111BD2C5C6B535BF6

Key	Value
MD5	31048AE5984A5FFA513B2A9B743AEC6C
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	python3-smmap
PackageRelease	lp152.2.2
PackageVersion	4.0.0
SHA-1	2405C7E3B6A0771FA5AC4188BA20C7245108FBFE
SHA-256	9601487C61FC3F0C16827DF667180A3E3113A0E18334B48693F6AFEA619150FB

Key	Value
MD5	92D3150EAF0C05F275CB206DC52F40EF
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	python3-smmap
PackageRelease	34.3
PackageVersion	4.0.0
SHA-1	282C1011F69561F52B8429222F2125688CD1A4D8
SHA-256	A52652AD28E0B1A7C7CE36FE71F053DCA8401A79AA4D0D04EB912FCD94CD7BC9

Key	Value
MD5	CA03BE4CA0850C1DEFBE6356928A88A0
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	python36-smmap
PackageRelease	34.12
PackageVersion	4.0.0
SHA-1	2CBAABB27861D7BF53919F7915CA264BC224306C
SHA-256	06A36B86E86A55ED68B0D7DB2B9148024937A9DCD3FC9645D78047291D1FAB6B

Key	Value
MD5	F52F9E25BFB5361F69053850BFB5B4C1
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	python3-smmap
PackageRelease	2.2
PackageVersion	4.0.0
SHA-1	4029C10A362C5074D7EEA2140BC5E773E3739AA4
SHA-256	47418AEA679B5F98CB59EE2BFBCB03EC6832596E63C05295336EDD9B1B5C96CD

Key	Value
MD5	6767B97DA0071297650D9B9A797D6C1E
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	python36-smmap
PackageRelease	34.13
PackageVersion	4.0.0
SHA-1	4CF48F2F93A4BA78C87ABAAD6038DB8E3105596F
SHA-256	E51C479D90FC8368933EFFD2D4CD59100E46791E1785FE77310FC1C8C3B442FC

Key	Value
MD5	51E198134491E14A785111EACC4539FC
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	python3-smmap
PackageRelease	lp154.2.1
PackageVersion	4.0.0
SHA-1	623952960E972F7822BCC32A98B1F52EE3CABB96
SHA-256	8ABFCF3F702E45609770D737166D44C11A6FB2D855D2737839CF006E24C12064