Result for F9EE32DBF9786210011D762C491C3535ACDA508A

Query result

Key Value
FileName./usr/lib/debug/usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-mips-linux-gnu.so
FileSize147588
MD539D8F7B44106D1DEE23918338D09444E
SHA-1F9EE32DBF9786210011D762C491C3535ACDA508A
SHA-2562DAA2E30FBEE3FB18D739590314D509D1162C3599932458720609A729ABFF627
SSDEEP3072:bwLOcip6CfdOQqQHYWbvnENiJv7DVpZ8Do2hfz:UyxDSCEYJv1pZ8c2t
TLSHT17EE36BA4F227CD29E874427CE7F7CB2AB7903443A04556B859C2D577E2F0278EF429A1
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
FileSize107924
MD596EB2B0444C86A78B100C7E17380720C
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-1C4C1E13F453A5C52C5012C74BC3AB7F8ECE99494
SHA-256D96C00B01D1150759737975A14C80F49D15D089D2D7BAD2606FE57B30C6436CB