Result for 324B8665F35FD3E5ED9BD119B0E8E36ECD2CC8C8

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/Levenshtein/__pycache__/StringMatcher.cpython-36.pyc
FileSize2706
MD506E735C4821EA6957C87521F78734A44
SHA-1324B8665F35FD3E5ED9BD119B0E8E36ECD2CC8C8
SHA-2561E8A1273C23EC446BCF71093D4DFDAB37007E9AB446EF435CBD13B87FF10D5ED
SSDEEP48:mVudxssVtcAPSgKvuQNH2ooEqu05qgjd0jqAKXtIIqBXtlIq++CRgIqSqPbIqrnG:uudqsfcAKgANH0EqbqRqnCIqBXIqh4g2
TLSHT1E451ACC5A2897E9FFD79F3B944D9035057650233938CA6B3A53C80A72DCF1D00D79A48
hashlookup:parent-total4
hashlookup:trust70

Network graph view

Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD566E9DFFCF9365AE3F542356BD99212D8
PackageArchaarch64
PackageDescriptionLevenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python 3 library functions and methods.
PackageMaintainerFedora Project
PackageNamepython3-Levenshtein
PackageRelease11.el8
PackageVersion0.12.0
SHA-1BF71EC784E9C8A2AF9C7E54C8FD29D1BED71AF54
SHA-256DB3C1A2312D8F028CBBFE028B9E5E4241DF30E39995E8F4F27EA3B3B6D80A842
Key Value
MD537768BEB90E06D8CEE9465A1BC70DBC7
PackageArchx86_64
PackageDescriptionLevenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python 3 library functions and methods.
PackageMaintainerFedora Project
PackageNamepython3-Levenshtein
PackageRelease11.el8
PackageVersion0.12.0
SHA-17810887A08C06E9EA64C56F8FD6EAF6642DABE0A
SHA-25606A0928FF7464A61172DB952AA20758870FD42512999321F2DDCF17C268B2A41
Key Value
MD507347147F654687A3883D7804422111D
PackageArchppc64le
PackageDescriptionLevenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python 3 library functions and methods.
PackageMaintainerFedora Project
PackageNamepython3-Levenshtein
PackageRelease11.el8
PackageVersion0.12.0
SHA-1E9FCE1202D932285690908AF3B92C23CF8064F79
SHA-256A40210A424711D43D0F4BEFAB3F2799E130A28D40DEB281FCB68F658DFF727EB
Key Value
MD54A8758DFD3D2D8BE5E66DBDEF7C46250
PackageArchs390x
PackageDescriptionLevenshtein computes Levenshtein distances, similarity ratios, generalized medians and set medians of Strings and Unicodes. Because it's implemented in C, it's much faster than corresponding Python 3 library functions and methods.
PackageMaintainerFedora Project
PackageNamepython3-Levenshtein
PackageRelease11.el8
PackageVersion0.12.0
SHA-10803D130C061F59FADB13D8F4C5F005A82E62A5B
SHA-256216068217378BCB894D64D0145DF02F28290AE9FECD05E17FD07C4DADFE760E5