| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/fuzzywuzzy/process.py |
| FileSize | 11161 |
| MD5 | 0806CA7B6C869ED05BD6651ACB0763C1 |
| SHA-1 | C7ABA38CA201AD0B7F4F372F442C65FCA270EA6F |
| SHA-256 | 67710198F693AB9C86E39B51215283866C8A9DCDE9AB4876868C77C143EAA2A6 |
| SSDEEP | 192:6bQHTMF/yhbS0J5/yhjzO+a3/IHcEBwks3hb600kK5tEY:u6Ayhu07yhjI3/ZEBwkoh30kK53 |
| TLSH | T1F532652F74CB216289C64429B48BC0D1975AD87B6317156CBDBEC2AC2F03C2987F76E5 |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 10796 |
| MD5 | 9B63717E5859651B144808240A7EFE53 |
| PackageDescription | Python 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 sort: A slightly more flexible approach. Tokenize both strings, but instead of immediately sorting and comparing, split the tokens into two groups: intersection and remainder. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.11.1-2 |
| SHA-1 | A7FE4F10628635E9AF609B5A50EBE59620F37840 |
| SHA-256 | EC5A042CCA0DE032EC8DC6C12F53587F8C5D55ECCB48B7CBD5AAEF8968D9121B |
| Key | Value |
|---|---|
| FileSize | 10884 |
| MD5 | 1700071CD20EFC3971A7B552E17C0B00 |
| 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 sort: 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 | 0.11.1-2 |
| SHA-1 | 71D15538CDD47E9E897CA15F85DFDBEE8844CEC5 |
| SHA-256 | 4FA84942674D8D152B7AA8D7FFE2B3683522256F77D854DC0FC57B251BDBBF61 |