Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-39-arm-linux-gnueabi.so |
FileSize | 71300 |
MD5 | FD015469A719BA3468A350D648CE4D01 |
SHA-1 | 8BB1C27030128BDB30990C88152FA5FD48BFD3A7 |
SHA-256 | 39C58071BA3800ACC10160DC79A3DA3E58048C543BC54447D7417F76B3D967A8 |
SSDEEP | 1536:UO+E48c6I8uwUtpBfZSIYKxJCXZQ3wuOEoeahO2iQDyN6KuqOfO+/qg9y:leZJDtpVURKxJCXZQ3EEJahO2je4Kuq0 |
TLSH | T101634A8AB5805AE6C6C1237AF35E479833234778D3EA30558D288F353BDBC590BB7A15 |
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 |
---|---|
FileSize | 36292 |
MD5 | E5D5A259082B04BA22D2A581156EF52C |
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 | 0.12.2-2 |
SHA-1 | 38D61261C4D80778C6AF56D5D575801DEDC44A00 |
SHA-256 | 225A8205D338D082C62A606760015233C23FC99D3EC2BCCE33A60BFF0E46AC11 |