Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/smmap/test/__pycache__/test_tutorial.cpython-36.pyc |
FileSize | 1386 |
MD5 | 0B1D3F0AFEA7C7B0AED452E05F18FF22 |
SHA-1 | 2BDDF58C54343F5306733197DFC18693DDFD9464 |
SHA-256 | 16631599A22B71EEBB27D01AF21E263B7CF434318C4E2CF1127C46D353BBAF39 |
SSDEEP | 24:xJ0UeZt1L2YMA1rSwl6lXyN1pHbqFSBOVuaSECgjeOO/5e:xG3L/3NSwl6YN1tb+S4uaBXEM |
TLSH | T1152101F58F2A8DA3F039F6FA2486748FD4E6A583F608D1018254D285AC4D69926BB1D4 |
hashlookup:parent-total | 8 |
hashlookup:trust | 90 |
The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | F28685E2B040E9BA320DB2F3DEF6ADB2 |
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 | python36-smmap |
PackageRelease | 1.2 |
PackageVersion | 3.0.5 |
SHA-1 | 92A8E7008D60A0A56290A13CFB17CC39134EC0A5 |
SHA-256 | DA06CB96F01CA41A06465E5A6580097FA3C882BFF7016CF47DECB5E7098CD9AB |
Key | Value |
---|---|
MD5 | 563F5516CF7605431EF3F010B806F782 |
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 | python3-smmap |
PackageRelease | lp151.2.1 |
PackageVersion | 3.0.5 |
SHA-1 | 358F74ED64CC87A0DA1D51A4DE8187198E150E22 |
SHA-256 | 42FF8C60A292D9A4BE989C80AF616D0B273C29CAD0286FF7CC1687FB107EE4D5 |
Key | Value |
---|---|
MD5 | 326882D74DB979F3BCAC26F12854356D |
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 | python3-smmap |
PackageRelease | bp153.1.15 |
PackageVersion | 3.0.2 |
SHA-1 | C30FADC8F99587782B70486D90A35A59EDDFADFC |
SHA-256 | CD7DBC70851E6DD8845359DE8F5E8AD89268DED86AD6BE26BDE97AB805FACD9C |
Key | Value |
---|---|
MD5 | 582609E66AE28FA3B8C4FDE3BEC69E20 |
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 | python3-smmap |
PackageRelease | lp152.1.1 |
PackageVersion | 3.0.2 |
SHA-1 | 8084D95FFDF84F8B5A595B640D1DCE7E58B888CD |
SHA-256 | E1A36F5A077F453CC657ECB6C62BCD5C2A045F8AC7940810A66C87DE645F1A29 |
Key | Value |
---|---|
MD5 | 26E906529ED1F5B7DD05D6689F9B2FC7 |
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 | python3-smmap |
PackageRelease | 33.3 |
PackageVersion | 3.0.5 |
SHA-1 | B0F6D7429E56EC998A67DF61DA0D9866A759EFDE |
SHA-256 | 7E611EAFFB729291C76AA0143F1D110F24E54FBBF9B98ED89D38332F916F853B |
Key | Value |
---|---|
MD5 | 21FA62F9049FA834951CA082AA085603 |
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 | python3-smmap |
PackageRelease | lp151.32.1 |
PackageVersion | 3.0.4 |
SHA-1 | C0148A9C2F9B74C4BBC2BA8B5ED0D93457662991 |
SHA-256 | 67B668796DB272ED99A663109AABD2CC8EB4F639F88BA429405B525E0B054AA7 |
Key | Value |
---|---|
MD5 | 633E49628825D678CFFF0BAFC2990FB5 |
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 | python3-smmap |
PackageRelease | bp154.1.49 |
PackageVersion | 3.0.2 |
SHA-1 | EFE2861D5538485CA5E6E6DFEFEC3826F5D80AC7 |
SHA-256 | 1AC3FADBAB590B94F96281D86619924FC99A9CFB21A9040CFB847C76125F83C6 |
Key | Value |
---|---|
MD5 | FB6EB199BA1A89D1AD19F60D527835D8 |
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 | python3-smmap |
PackageRelease | bp155.2.13 |
PackageVersion | 3.0.2 |
SHA-1 | 62B98D8C5C7D45FCAD152674114336FC030E8194 |
SHA-256 | A0AE96A6E2E7720FB3CE16305593EC4E5292A7824199BB0713C4351FCC9DD600 |