Result for 256C363A45B92E3E6C0B7A2F3ECE0C54B461B154

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/smmap/__pycache__/buf.cpython-39.opt-1.pyc
FileSize5132
MD5DC560E6127D9C76FEFB02DCFF7C411D4
SHA-1256C363A45B92E3E6C0B7A2F3ECE0C54B461B154
SHA-256D194483A01C67E7D646A7ADCD83C1FB4FECEB0B9C56C6CCFF71F1C22A838592A
SSDEEP96:4ydVgx3QM42U3Piy9Owup1C2gMiqoL4slFVTKKDHQBWU/vHimDbyRP:Td83QpZ36y9OwoDwkOBcBWU/vCjh
TLSHT12BB1B543AF64673BFC15F27460DB67EA63B440BF6A24C241386C946A3F0EAE185738D4
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
MD589B76D7E1CFB5DC548ABC315CAC6BCCA
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
PackageNamepython39-smmap
PackageRelease1.2
PackageVersion3.0.5
SHA-182201E55A43E652F97E132A72EAA478E606A21BB
SHA-2567E0954F7DAE9F0C3DCE1FACE13E39A1D0635808AC584EE17F53E28143D2076CB