Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/Levenshtein.i386-linux-gnu.so |
FileSize | 67388 |
MD5 | CCA9ABE5142B9C8A6BC0917ED38D0910 |
SHA-1 | BC610EF9FE65C312431BA214C1319938E5FA0FE1 |
SHA-256 | 3C13E4D4B2C68650C346333D6B0F252EA4EB02455E6564E13BFE0A5C9F7D92F5 |
SSDEEP | 768:vVLdXfT9XvGWKH0r3gayxMM8NRnZ83MmkGk//Wi+oc40bNLoPWMCHTUcusLg:FlZp4wnZ8Hjw/WhhMEgcu |
TLSH | T10E63F89AFEC711F1E6A71075C6D3A22F666087029025F7F5FB0C1F5AFA33A01243964A |
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 | 34952 |
MD5 | 54D750011C4E4AD288B5EF3A3231151E |
PackageDescription | extension for computing string similarities and edit distances 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. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-levenshtein |
PackageSection | python |
PackageVersion | 0.11.2-1build1 |
SHA-1 | F0DD2B53D5BA7D26FBA359E58EB7142DC35C8578 |
SHA-256 | 385C66D9B5E40E7AA600C29FF7F82B4FD176F1D77CC1A0FC367F236C3AD3E333 |