Result for 743B4EB5DA3BF360104A2D34D74762EE91371011

Query result

Key Value
FileName./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39d-mips64el-linux-gnuabi64.so
FileSize404304
MD58D14BA1FEF06F2069C5E3C611106DBA2
SHA-1743B4EB5DA3BF360104A2D34D74762EE91371011
SHA-256A482CA76363F9F2ECB2D956C9C595F230854ED8F6A26FB895320600E4CECA299
SSDEEP6144:ScKNRYJxw4z7HRSOpJkhfCffj2YvIXDKe:SYBZ3vId
TLSHT12A844B02B782DC0BC5868734CCAF17BEB7BAD9513213D3AB9B9954316DA33C9DE90644
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
FileSize199584
MD55956324ED48C0860749D9A1446D9677A
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
PackageVersion0.12.2-1
SHA-14108200FCDCBF51E155ADB069230544B8506D104
SHA-256A45554FFFA0312BD4ACDA8BE2E767C56283ABFF7BE5B743FB342719AF247EC73