Result for 05E1919525C1BB15A53F226F3F21AD05FD7DAE0A

Query result

Key Value
FileName./usr/lib/python2.7/site-packages/smmap/test/lib.pyo
FileSize2546
MD5BD8D91907378826005504BD6CA4F3D2A
SHA-105E1919525C1BB15A53F226F3F21AD05FD7DAE0A
SHA-256811E4A4063F05D727C905495A3AF3D5A928F96864C0BB0E221372F137E55674A
SSDEEP48:v/H5XzGXUVgXEu8KF5GCpj3heh/DcuxGZjMSTmTVVQntkS:v/50IEEu/F5d53hgb6Z4STmThS
TLSHT15751BE85F3FB0B17E5A29570E190151BE268F47322517B816678B1B63D8C196CA3F3C2
hashlookup:parent-total5
hashlookup:trust75

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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
MD5FC6B240CEA9F0AC8CAA4D61514921CB4
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
PackageRelease33.3
PackageVersion3.0.5
SHA-122F749EFEA4AE6C2C65766514B34C0989C19A625
SHA-256F5CCC0A741ECC91FBCB71E4AE7798DEC00B63C372A15C738C394D9506BC5EEED
Key Value
MD5BFDD21D520737E980D12B6BDE74EEAAA
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
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-smmap
PackageReleaselp152.1.1
PackageVersion3.0.2
SHA-1574C5F92E3DA9AB72420A5AC366D1EB4F1C21481
SHA-256C41E1F11D6F8D083AEF35EF84481DBBF0B61BED3792019D2EF8A9EFA355596E6
Key Value
MD5A60FD260480F1786BA7B4F70DE9B9103
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
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython2-smmap
PackageReleasebp153.1.15
PackageVersion3.0.2
SHA-1CCEFBE7C48AB679E85AA799CBAA036350989747D
SHA-256243149CD67BC54E129F5D1ACB02EAAF848E8394F7511D23E29E4C96DC7408211
Key Value
MD507B914109652565C119664DC5CA0FA87
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
PackageReleaselp151.2.1
PackageVersion3.0.5
SHA-136F2FDF1ACAE7A73941A2360963BE95FEE9A7AB4
SHA-256A1CA9BF4ABE0EFD879FD827069B1940D4410548255A97EB5CE6149CB21F99E01
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