| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-fuzzywuzzy/changelog.Debian.gz |
| FileSize | 1458 |
| MD5 | 680B5B13EF6E9F8663363D3550BBA559 |
| SHA-1 | 89A5160F4FD3C1F0358BF07E70BC652BE7E51DD4 |
| SHA-256 | B044F812F05F04828E19F9A7DE901AF1E805DD73476A8EC831B59B126C797C67 |
| SSDEEP | 24:X4HAlFsxRIxd1W0LqqiF+8DctOK129opCLIHeITyd1BUCwMjA1VvihN7:XFlazrpFRA2uMxgWBU3MU1V0N7 |
| TLSH | T1A5313B23A0039AD66341F9282EB559FE545AED036319E007CC07F060FD06B1CBF70D61 |
| 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 | 20728 |
| MD5 | BCC03A6649BF4AC8C0F0F2165FAE6108 |
| 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 | Debian Python Team <team+python@tracker.debian.org> |
| PackageName | python3-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.18.0-2 |
| SHA-1 | 993C079F219337F763EE63A68C8D97393C2BD704 |
| SHA-256 | BCE2B7447D6D6B348F744A158866F4F03AAF3A2C4316E29B4021066875FE2D61 |