| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz |
| FileSize | 695 |
| MD5 | 3648885C8C4973AFC66BF003B268D5B3 |
| SHA-1 | 7E95866F3DDAC7A2AFE821CB6545D6DDDB215E37 |
| SHA-256 | 0833C7C2649E07BF13136E1E6EAA95BF62D67B4FE89417014018B9B28EEC72FF |
| SSDEEP | 12:XlumHsP4P59ky0VlJ77ZVyeNvrlTyzQrS93uEhV548kJo/Lo2EtjeQdXvCg:Xlu1P4P59p07J7ueF1y8rSNn548kJ+oR |
| TLSH | T1790144A260AB93BE4CA39D587B2E455857EF063301186760D78748CCC8C7D15A32587E |
| 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 | 12160 |
| MD5 | AB3CF2ECA2B2029AD80892A041FFCA92 |
| PackageDescription | Python 3 module for fuzzy string matching Various methods for fuzzy matching of strings in Python, including: . - String similarity: Gives a measure of string similarity between 0 and 100. - Partial string similarity: Inconsistent substrings are a common problem when string matching. To get around it, use a "best partial" heuristic when two strings are of noticeably different lengths. - Token sort: This approach involves tokenizing the string in question, sorting the tokens alphabetically, and then joining them back into a string. - Token set: A slightly more flexible approach. Tokenize both strings, but instead of immediately sorting and comparing, split the tokens into two groups: intersection and remainder. . This package contains fuzzywuzzy for Python 3. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python3-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.17.0-1 |
| SHA-1 | DFD7504D9AB3A0851C9532A9D0A54B87320DDC45 |
| SHA-256 | 95EA89748D383BC20E804E072BF0722A396D28A207237009B20409EF9CB4ED9C |