Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/smmap/__pycache__/util.cpython-38.opt-1.pyc |
FileSize | 8017 |
MD5 | DC7A46301D3FCF24048EE9DBDBDA00AA |
SHA-1 | 17F12EB4FE8D6E3C70FE20F8A5C533A1B864BC5E |
SHA-256 | D80F8AAFC060284A1C0238DB3B6BCE2D5F227482C2351629790FD04CC5BD252D |
SSDEEP | 192:aHQn9KlgmK4yhLweTzOUZOdRfLCqV8hYlMrl:yQn9K+mK4kLwYOm8RfLtOPl |
TLSH | T1CCF163C252459AFFFDB0F279511A8350A3749276AB4EC116700E88AFBE0B6D09E76784 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | 9A810B7873D0F518EBAD3C9CF8F9B695 |
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 | 2.2 |
PackageVersion | 3.0.2 |
SHA-1 | 7DC1FE7856709ACFB815295162BDF95EFDA8F705 |
SHA-256 | 716395FD5EB9B82B93BF83842B9340179600EE9EC505E8455341F59B2B1D09B6 |