Result for 89EC1022F6CD936CFA4BFDC310C86098A7109A8E

Query result

Key Value
FileName./usr/lib/debug/usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-powerpc64le-linux-gnu.so
FileSize200568
MD5E0C53FB345DE6E2218D3D48D063F9173
SHA-189EC1022F6CD936CFA4BFDC310C86098A7109A8E
SHA-256FF57F554E0E40D7C34584B94086C9C6A2A7B20571A89DEFCE1FBB9D16B7E4CA9
SSDEEP3072:KdKFjv04YvzxJI0ABCZ5pcI3Xo6QNoby:KCDYABK
TLSHT15D141806BF668D0EE3844378DCEF4BA593B5D8A53343E72BDBA250252E61316DE5360C
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
FileSize113660
MD5691EE76079E01B0D52BD52B0B23BE4ED
PackageDescriptionextension for computing string similarities and edit distances(py3k debug ext) The Levenshtein module computes Levenshtein distances, similarity ratios, generalized medians and set medians of Unicode or non-Unicode strings. Because it's implemented in C, it's much faster than the corresponding Python library functions and methods. . The Levenshtein distance is the minimum number of single-character insertions, deletions, and substitutions to transform one string into another. . It is useful for spell checking, or fuzzy matching of gettext messages. . This package contains the extensions built for the Python 3 debug interpreter.
PackageMaintainerSandro Tosi <morph@debian.org>
PackageNamepython3-levenshtein-dbg
PackageSectiondebug
PackageVersion0.12.0-2+b2
SHA-1738528645B4051919AD2009B867DC45FBCB85C69
SHA-256F8714003E42D2133E0B66968C5C71C7FB84F322892CC13CC00934A238D4BE449