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	D92E74C1D0B1AFA69F05DC18DE124699
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	python3-smmap
PackageRelease	lp150.1.3
PackageVersion	0.9.0
SHA-1	2FE94EC6B7983DF8177E6D1D287FFF6DFE53423C
SHA-256	533A2902EC9182FE8CC8886C4398953355CFE4772AE131222B79DD9657BFB5F6

Key	Value
MD5	1C1574ACB6E824E3752F6A8A949014AD
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	python3-smmap
PackageRelease	lp151.2.2
PackageVersion	0.9.0
SHA-1	B772D89F62782C54DB19D290696C28FBD40FDCB5
SHA-256	FBBCCD705FB10F129B2B62483681FA3BC203E6C34AD6A4A6FDF91F3F6C0248E0

Key	Value
MD5	22355811EBE41BDBF6B16C3C54D2B71B
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	lp150.4.2
PackageVersion	0.9.0
SHA-1	8BACEABC1CDCBF34BCD3C58542A0E50E53590293
SHA-256	3485DEB53BDD81BFBA9D02111EF9BFFAD60DF953C686A6A63C5338EF25ABA53A

Key	Value
MD5	60AF8D00D8069E2BE4385C5F18F64B97
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	lp150.1.2
PackageVersion	0.9.0
SHA-1	F352A949C7890882A8ED23B0DCB0D80D7B413B75
SHA-256	940F9275B0A9D1938E0B205B2B24BCD0298D903B2848F25DDF879BF960D343E7

Key	Value
MD5	DB08ECA0894EFAD35C77F8ACF9540445
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	lp151.1.2
PackageVersion	0.9.0
SHA-1	2AD66C806B05DE3B4460BA6B087FF5540EE51D39
SHA-256	D619D398AF75AB10508A3295F06132870DD15B9E1E8AC4D21D0377218182D3A0

Key	Value
MD5	A80CB78FD73815C0AE769983C65FA2B8
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	lp150.2.1
PackageVersion	0.9.0
SHA-1	03ABA5D27550321D992A1D79F3F56AF58F46F3FD
SHA-256	BC3E2DAF8752827E5D4D65C5644EFDC0B573151D5893A91F98AB6193E0DC410C