Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/Levenshtein/_levenshtein.cpython-35m-mips-linux-gnu.so |
FileSize | 77684 |
MD5 | C7AEB274CE1A2001C0C34D79E7A0F3D6 |
SHA-1 | 5539ABCF0D785B91524AE8BB8BA8F012CCDACF69 |
SHA-256 | E60439D8C8468AC9CAC98CB4AA17AD2C3EC83B192366AF8A6F7BF296339ADC18 |
SSDEEP | 1536:r+qbhIjTt35UspFdS9yrwjJi8Iqq1Zs7x1qgbyw:CyKzFUywIeFggbn |
TLSH | T14D732A273B008F6EF356D63095B7CFA1E7A4429322E555E5D2BDE3097A40D0DA037EA8 |
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 | 31820 |
MD5 | B195DBD5485C4702B97E58869808DDA9 |
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 | 0.12.0-2+b2 |
SHA-1 | 9082EE3A1769CEC67193C1561100BED4E653BE0F |
SHA-256 | 5F7EE75D687A52267F34571F41B302A07EE209FC0B8FB3E6395E76D7E1D39738 |