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	6A4848EAFCBA180005DA41C2FE47E499
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	python38-smmap
PackageRelease	34.13
PackageVersion	4.0.0
SHA-1	FB660C82FB4A9AB2D4CDE5B94B92FE2C50CB76DB
SHA-256	FE6357CC961A4ADBEE0AC963A985865C7E0FA36E2DF31E7607D7CA5D8EFA1A15

Key	Value
MD5	6C9BB5FBFB8011D4C4B2BA21D15E20CE
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	python38-smmap
PackageRelease	34.12
PackageVersion	4.0.0
SHA-1	C8B01FD5A379065C97E1EFC227C0C5706A7A4B2D
SHA-256	30919EF19C962B673167CF717187E81DF50D16FBC85E9F7AD4D362EF3F02E86C

Key	Value
MD5	9A810B7873D0F518EBAD3C9CF8F9B695
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	3.0.2
SHA-1	7DC1FE7856709ACFB815295162BDF95EFDA8F705
SHA-256	716395FD5EB9B82B93BF83842B9340179600EE9EC505E8455341F59B2B1D09B6

Key	Value
MD5	B3713284030D9270F56F114659203903
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	python38-smmap
PackageRelease	1.2
PackageVersion	3.0.5
SHA-1	22FBE5EDE1F4D5A04E47489565B630223F846813
SHA-256	2581C460CE43CA1C0C44AA8C52B6F629AA219018125D4293CB30B433362CFF81