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	D8A24A939099F678D68065982D48A975
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	python39-smmap
PackageRelease	34.24
PackageVersion	4.0.0
SHA-1	C09C1DBA86A38EDE23E7AE3EE60A7A44CE35CC2C
SHA-256	5268187BB8830F45EB472EC8FA120F0A1C07832802150CD682AFC5F065149390

Key	Value
MD5	77DC2BB0FE22E1E21E162D6577034F4B
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	python39-smmap
PackageRelease	1.4
PackageVersion	4.0.0
SHA-1	DC8AD917D2146719A9FDEE97FABD51C3E5D15529
SHA-256	2027A52F3852E6A132645BC04583BC67022753AC70F9A723AF75FB0FF716BEDF

Key	Value
MD5	D7103BF48084BABF7CD27637BDA29B9F
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	python39-smmap
PackageRelease	34.16
PackageVersion	4.0.0
SHA-1	A5B9B9B3A54273BC1BCB5FA03DDDAB00815C6085
SHA-256	528B7CBF557ADAAF44C64D74F65BABE62AFD58A3FBC034A86FFB5F2AC795F6F4

Key	Value
MD5	45854EE2E55B276520A52492A8967A37
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	python39-smmap
PackageRelease	34.17
PackageVersion	4.0.0
SHA-1	BC3348316663F7BC51CD3A8C3EEB8F198FE7EC48
SHA-256	CA734D2A5E669EB9351C8B1F606C27E502BBF517AD6F662BC78C2C0C78E48431