| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python3-fuzzywuzzy/changelog.gz |
| FileSize | 7581 |
| MD5 | AE5D09B3A297AB64C7B25BF845B873CD |
| SHA-1 | C18D0A45DDBDF32361E18FD609E324EAF279D228 |
| SHA-256 | 335F46D2E60FD377E76C58BF42CAB7490852405C3E1B76E2B380CD10EAFD23A2 |
| SSDEEP | 192:y01mC5HcBbgScCDcpuSxdm1idHCq4qbjWfkocFMyAiX:Z/cBk/ocLVb4qbjWfliX |
| TLSH | T1C5F19EB3A565D829D237E534640EB19FE16018F21FB0A019B43A1B67CB7C862AF891D2 |
| hashlookup:parent-total | 4 |
| hashlookup:trust | 70 |
The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 20312 |
| MD5 | 7F389FBEF12E24B2504176B4A18F6555 |
| 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 Modules Team <python-modules-team@lists.alioth.debian.org> |
| PackageName | python3-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.17.0-1 |
| SHA-1 | 98A628CBAAFECE46895A5FA33353CF1B4C2375F9 |
| SHA-256 | C0D25CC23F8961874D508B82A6EAC787B04CE775E31D1085E060729E722A3E32 |
| Key | Value |
|---|---|
| FileSize | 20224 |
| MD5 | 094EF4F25BA704CA0B3AEAEC569112E9 |
| 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 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. |
| PackageMaintainer | Debian Python Modules Team <python-modules-team@lists.alioth.debian.org> |
| PackageName | python-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.17.0-1 |
| SHA-1 | A08501F54F963293F752AA59DC4647BEA1A61EDA |
| SHA-256 | 3371E702B716188BA1FEFF57427ECEC58F71F6FA45AAD3515F18DD8524D9BFD6 |
| 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 |
| Key | Value |
|---|---|
| FileSize | 20048 |
| MD5 | 058104A505D5B80F70FCB20B6E2DE29C |
| 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. |
| PackageMaintainer | Debian Python Team <team+python@tracker.debian.org> |
| PackageName | python3-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.18.0-4 |
| SHA-1 | B6498C5D8E6F48ED7854253E4779934A03A90477 |
| SHA-256 | DDDC6694F53D48179CE2B3A181CD25616357508D25B7102222334731734E7861 |