Key | Value |
---|---|
CRC32 | B0F2B50F |
FileName | mman.pyo |
FileSize | 20743 |
MD5 | D8CC838E336415D3070E1F72A6A91024 |
OpSystemCode | {'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'} |
ProductCode | {'ApplicationType': 'Operating System', 'Language': 'English', 'MfgCode': '1722', 'OpSystemCode': '599', 'ProductCode': '163709', 'ProductName': 'BlackArch Linux', 'ProductVersion': '2017.03.01'} |
SHA-1 | 40D41D0A0EC52C71FEA8698F2C6730CC87DE320A |
SHA-256 | 745E09B8DAA004A179B994A0F8C124B59D12E217370E087C419695C7423F6B82 |
SSDEEP | 384:+PkgmU2jY3cDrl0CDcXSXJWrcBI/4K25OLqPsd+R:62jY3cHl07XMJMcBM4/A2PsdU |
SpecialCode | |
TLSH | T186925381B3F90B67C2A155B462F112569775F0BB6282A79032BCA07D3F892B9C53F3C5 |
db | nsrl_modern_rds |
insert-timestamp | 1647002373.1263742 |
source | NSRL |
hashlookup:parent-total | 5 |
hashlookup:trust | 75 |
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 |
---|---|
MD5 | 37A6B6A1B2DDB90F650A83073DF78C4F |
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 | python2-smmap |
PackageRelease | lp150.1.2 |
PackageVersion | 0.9.0 |
SHA-1 | 7C28A817202A08879D211E08EF1B34AB7DCBA4C6 |
SHA-256 | C070CD53E0451646C8820CBF0C8EA35E96B7DCF47A89AE3FC8F79402F569D9EA |
Key | Value |
---|---|
MD5 | B93981310D22F405348E08B6F7AFB9B0 |
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 | python2-smmap |
PackageRelease | lp150.2.1 |
PackageVersion | 0.9.0 |
SHA-1 | F5B4B23AF76810C80D0FE2D13C656E8F945C2CD0 |
SHA-256 | 57A93D5B4528439D826F6A9E592AF7B176007180CCDF9644EF092B24F55236B6 |
Key | Value |
---|---|
MD5 | F351F32580995BC846BBA3CF98A2E2BE |
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 | python2-smmap |
PackageRelease | lp150.4.2 |
PackageVersion | 0.9.0 |
SHA-1 | 5AA071CC4F5DB01CEE38B1DFCC9B717161F46032 |
SHA-256 | EE5968C9277E943CD420BB9C7075866E3E7D5796FA31DE29BC7D434C6F7582A9 |
Key | Value |
---|---|
MD5 | 821147C382A631DB7E7D564BB9B5FDE6 |
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 | python2-smmap |
PackageRelease | lp150.1.3 |
PackageVersion | 0.9.0 |
SHA-1 | 900B1AF8848205E37048E72622536B7822C20BBB |
SHA-256 | 3BF7805B40DD6DAB92B5C5F4F01D8D9FA625BA4C2B46C5187A235F1FA8AF8527 |
Key | Value |
---|---|
MD5 | 237CDE86DE010DCBF61311670F955DA6 |
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 | python2-smmap |
PackageRelease | lp151.2.2 |
PackageVersion | 0.9.0 |
SHA-1 | EDCAD95B9FDD8DC7BAA1C653B21DFE8E591676F5 |
SHA-256 | 835B92BE4A56A2594750BE455C289802D09E804B5348F6C6658888FAB06E6F75 |