Key | Value |
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FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-mips64el-linux-gnuabi64.so |
FileSize | 78832 |
MD5 | 9F4F72127DE7ED8D729C3E2CD5D8C4F3 |
SHA-1 | AFFEFE6BEB30D673FE3B49891FC6EC9D8D4319DF |
SHA-256 | 59E30B968170C1B8D9913C7BDCC1FB4B82194F766DDBD728A2F402C79C9EC508 |
SSDEEP | 1536:KCK0zfWZjzrwqcFsBLe3Uqo9OfLpotIqAti:Kl0zuVdfOqtFAt |
TLSH | T11A734C237B452FA7D2EACF308D795077253D9D92A220C956EE9C0A293F0D7464FE280D |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
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FileSize | 36596 |
MD5 | BF39B3F1B2ECB9F810B4F67480CBF327 |
PackageDescription | extension for computing string similarities and edit distances (Python 3) 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 Levenshtein for Python 3. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python3-levenshtein |
PackageSection | python |
PackageVersion | 0.12.2-1 |
SHA-1 | 7CBBE3C95C09521B7FD13A4DD607B92707358D32 |
SHA-256 | 55EA00FD668AB8CD2000537C427736839527A25AD8084732B7B30280A19736E5 |