Result for 17F12EB4FE8D6E3C70FE20F8A5C533A1B864BC5E

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/smmap/__pycache__/util.cpython-38.opt-1.pyc
FileSize8017
MD5DC7A46301D3FCF24048EE9DBDBDA00AA
SHA-117F12EB4FE8D6E3C70FE20F8A5C533A1B864BC5E
SHA-256D80F8AAFC060284A1C0238DB3B6BCE2D5F227482C2351629790FD04CC5BD252D
SSDEEP192:aHQn9KlgmK4yhLweTzOUZOdRfLCqV8hYlMrl:yQn9K+mK4kLwYOm8RfLtOPl
TLSHT1CCF163C252459AFFFDB0F279511A8350A3749276AB4EC116700E88AFBE0B6D09E76784
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
MD59A810B7873D0F518EBAD3C9CF8F9B695
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
PackageNamepython3-smmap
PackageRelease2.2
PackageVersion3.0.2
SHA-17DC1FE7856709ACFB815295162BDF95EFDA8F705
SHA-256716395FD5EB9B82B93BF83842B9340179600EE9EC505E8455341F59B2B1D09B6