Result for 0CDB2ABB76A5A2AEE4E792B785ABC680C17CEB65

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/smmap/__pycache__/__init__.cpython-38.pyc
FileSize558
MD51E41931CE0E51325048427EE02A5C651
SHA-10CDB2ABB76A5A2AEE4E792B785ABC680C17CEB65
SHA-256CEA0AF5A184641E62C5224C0D4C6131CA2A953A3FC19FB982D70B1CA8299FA91
SSDEEP12:9uF4sZLPfk0Z1akQq1aDqrWiDiwMB+CdPRgmGvy4v:g91fjZGkjDiwMICTc
TLSHT143F00522C540CD77FF10B7B97065D32507F504B89F0EA3927F189299AC0E244D363D12
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B3713284030D9270F56F114659203903
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
PackageNamepython38-smmap
PackageRelease1.2
PackageVersion3.0.5
SHA-122FBE5EDE1F4D5A04E47489565B630223F846813
SHA-2562581C460CE43CA1C0C44AA8C52B6F629AA219018125D4293CB30B433362CFF81