Result for 470BCAD234CE78738A6ADDEFB4FFBBE42D8AAEF2

Query result

Key Value
FileNameusr/lib/python3.10/site-packages/smmap/test/__pycache__/test_mman.cpython-310.pyc
FileSize4825
MD51C2C60AC78FE649F100AD84E3DF61495
SHA-1470BCAD234CE78738A6ADDEFB4FFBBE42D8AAEF2
SHA-2564E3B33F0C71B87FE303616DFF814360BC96CD4E1674ABA5EDC06480C4FA37660
SSDEEP96:ZVTcOgfINO/vANffSS4vY92jilyKEDBOdUpvbMeKjPFlCW4k1ygwqF:LcOgfII/vACYgjilJYBOdybMgM1yIF
TLSHT15BA1C9B7F269E267F8E1F3FAD4E113954030A1441BE88A05713DE3A65F8C5E52B6434C
tar:gnameroot
tar:unameroot
hashlookup:parent-total9
hashlookup:trust95

Network graph view

Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-smmap2-3.0.1-r2.apk
MD54300990AC986D4B8AC0720338F9C4984
SHA-1CBB26634EF29B33B75E87E6FF5A5BFB50870E574
SHA-256D680E3E4BB8B610BBD8D94E104EDFA1CC25608589915F39BD08CB06B1E6ECA2C
SSDEEP768:is2XDkqAA1L9/gIB5me6Cx9/ButbOVAibQ85Y8PLpFSA5+Y/P+o:P189YCx9/c4VzbPPeA5zH+o
TLSHT1E31302FBB0013C4BBE19ED654FE614F63D30536E546941A3D4A11619F5B831C12A3FBA
Key Value
MD57E98806FF5617BBA060C9CD43BC8C661
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
PackageNamepython310-smmap
PackageRelease1.4
PackageVersion4.0.0
SHA-13B97048D7E199839CD3AA63F9D581527B9FBE04C
SHA-256BBD2E060CDE687CEF3AD3EAA10B9169918E2DFE46A7B460C454A8325941279E1
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armv7//py3-smmap2-3.0.1-r2.apk
MD5E01C7111EDCD9EC13030B0F575258F7B
SHA-12AD11AB8A481D355CB2B0313E5B9F94B73C785E0
SHA-256195A275BF905BC36561AB8D92B02EA2B8973E07664184F7CB5E4435D4E0D940C
SSDEEP768:A/DkqAA1L9/gIB5me6Cx9/ButbOVAibQ85Y8PLpFSA5+Y/P+o:L189YCx9/c4VzbPPeA5zH+o
TLSHT13C1301EBB0013C4BBA19E9654FF614F63D30536E64A941A3D895161AB1B831C2363EBA
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//s390x//py3-smmap2-3.0.1-r2.apk
MD581C1D94F152BE17B5B33CFF9F246C506
SHA-1176B07717FF174DB9C0527BE4B8173BEB68AF5C7
SHA-256FDF5B6B28DA791B6104C928DDC7478FF67F837B2EADE7A2E3C534A59B99AB3E5
SSDEEP768:Y+UkqAA1L9/gIB5me6Cx9/ButbOVAibQ85Y8PLpFSA5+Y/P+9:7189YCx9/c4VzbPPeA5zH+9
TLSHT11E1301EBB0113C47BA0ADE954FF724F67D31136E54794263D852161AB0A87082293FBA
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//armhf//py3-smmap2-3.0.1-r2.apk
MD5EB7DD923BA3DE9A973F4ABF0DCFEE618
SHA-193B665849A159A6B89CA137A9C539D34559D6915
SHA-25606B6DE5083E680F93BD3B45AFD078E41B0FCBFA741211E04FBDE0B2B83F0E68E
SSDEEP768:4k4DkqAA1L9/gIB5me6Cx9/ButbOVAibQ85Y8PLpFSA5+Y/P+o:N7189YCx9/c4VzbPPeA5zH+o
TLSHT1CE1302EBB0053C4BBE19ED604FF624F63D31536E646942A3D8911619F5B831C2263FBA
Key Value
MD53255B8A8229340EA7CEBC8656D7B477B
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
PackageNamepython310-smmap
PackageRelease34.24
PackageVersion4.0.0
SHA-14013901D5643C719EA12E9838271AE830F54AB23
SHA-2568F6D989CD335A6B5651546552F89EF0F94E7141318FED6162215D00F90CF9A37
Key Value
MD5CB60F3DAE6A736B5C13203437DE88F94
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
PackageNamepython310-smmap
PackageRelease34.16
PackageVersion4.0.0
SHA-16AF8835AC3D6E51BCC3E161D8FE30FF151FE9C96
SHA-256952632CE80BF0C066BF5F3A1C4A98DC0FEA74329D05134810531A9D491AE389F
Key Value
FileNamehttp://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86//py3-smmap2-3.0.1-r2.apk
MD5AEC1F68DB72AE8B7079E94D1BAB94541
SHA-13E3609B2435C15A52F2106C9E2E2810DA2AB6DB8
SHA-2565A24806CEB742FD0ED83D6287F588F532E96E8B326296505B3C6EEEEA3483BB2
SSDEEP768:IbDkqAA1L9/gIB5me6Cx9/ButbOVAibQ85Y8PLpFSA5+Y/P+o:n189YCx9/c4VzbPPeA5zH+o
TLSHT1561302EBF0053C4B7A16E9644FF614F63D31536E14A941A3D8A1161DA1B871822A3FBB
Key Value
MD5A43F08648AB3DA68C12685E3C8C19328
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
PackageNamepython310-smmap
PackageRelease34.17
PackageVersion4.0.0
SHA-14CF7C07A7C773CA108E18A63F784902A3F5B8198
SHA-25671BC0CAF2EE377772343C244FDB94C9DF324200FDDE1DAA242712581A15DD81B