Result for 2B2720BF9E8DFDC604F1945CE8C1D0F80E92A6DF

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/smmap-3.0.4-py3.8.egg-info/PKG-INFO
FileSize5006
MD5E9380071D220E9AD0A7C73E5AC91329A
SHA-12B2720BF9E8DFDC604F1945CE8C1D0F80E92A6DF
SHA-256B5A7E0E53B11B8B0AB0116E65E70950448222B317E61816CB26FE5A0447A7E73
SSDEEP96:DpvxngmkFFm2wEcnKhZaek9JxKHUw2KdTA2OGjFQImQIhQIRvQIljaaYxrG4:C6PKzaRZKdVKCP5tG4
TLSHT1EDA19317A6C871B45B5205EA320DC0959B3684ABBB649C9CB4FEC01C5F12BB147BF068
tar:gnameroot
tar:unameroot
hashlookup:parent-total5
hashlookup:trust75

Network graph view

Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileNamehttp://archlinux.mirror.root.lu//pool//community//./python-smmap-1:3.0.4-3-any.pkg.tar.zst
MD5E923A4FA33A74B76C68F71670CED4B9B
SHA-1621DED048679A673510A45A0CA87BD3B99396A92
SHA-2564D04BCA755C853F51FC832988D7176C973DF829EA5AD579B2D2E8C8DD679B157
SSDEEP768:wE8MMQyLD7mdiD2kD6tfp/1TOZeLknO/jGhC0Qou+E:wBidiDZ6fbTXLn/AQo+
TLSHT16403F19735BD3CF162F321B91CAD726A8190B2F762BA51E41FD80C90DB29563E904D2E
Key Value
MD5D9DF19229FD05F9CF390A917F32CCECC
PackageArchnoarch
PackageDescription MotivationWhen 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...
PackageMaintainerguillomovitch <guillomovitch>
PackageNamepython3-smmap
PackageRelease1.mga8
PackageVersion3.0.4
SHA-1B3A74BE178B76EB488A8EAA97F14B94C5FFECF60
SHA-256161F04DCA080D0B06A1691DE97CD549006A72FFDD5B575956ED6210397ACD69F
Key Value
MD521FA62F9049FA834951CA082AA085603
PackageArchnoarch
PackageDescriptionWhen 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
PackageNamepython3-smmap
PackageReleaselp151.32.1
PackageVersion3.0.4
SHA-1C0148A9C2F9B74C4BBC2BA8B5ED0D93457662991
SHA-25667B668796DB272ED99A663109AABD2CC8EB4F639F88BA429405B525E0B054AA7
Key Value
FileSize21044
MD5F251647874CC2EE5ABF8E485F3F8BE2C
PackageDescriptionpure Python implementation of a sliding window memory map manager Smmap wraps an interface around mmap and tracks the mapped files as well as the amount of clients who use it. If the system runs out of resources, or if a memory limit is reached, it will automatically unload unused maps to allow continued operation. . This package for Python 3.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-smmap
PackageSectionpython
PackageVersion3.0.4-1
SHA-1C41854A854D38C44675BD0EAD881C805C5745C95
SHA-256EFD7B71254D933762F68B488978B8CC6A29B080841EE4E81EAAB21BD303D24AE
Key Value
MD588CDA23F1EBD7BEC29713FD71ED90D6B
PackageArchnoarch
PackageDescriptionWhen 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
PackageNamepython2-smmap
PackageReleaselp151.32.1
PackageVersion3.0.4
SHA-14E980E0B878B3D516AEB5F5AFEE33D74F4FB6E5A
SHA-2561D4CC674807FB4410D51E7AF739A54E492A5F1A66E7EE26DDA4DFE898BBD32DA