| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/fuzzywuzzy/process.py |
| FileSize | 12569 |
| MD5 | E0992EF9D5CA9E3CB58AC27432254D6E |
| SHA-1 | 9C6C0BF87ACE754594769AE48AB55FE11F7D164B |
| SHA-256 | BF38A5DA83F17F4DCF38F094902712080D76E719177929D9728FB1D9E4C26353 |
| SSDEEP | 384:u6py44r9tdHVPIy4j+3/5EBwkoh30kK53:5pT4r9eTj+3uu3RQ |
| TLSH | T1FB42862FB48B253289C54869B09BC1D2975AD93B6316157CBCBEC25C2F03C3983B76D9 |
| 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 | 12036 |
| MD5 | 6CF16F017F310E64F026A767E31F5A17 |
| 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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.16.0-2 |
| SHA-1 | 5CC40B87E3967560027A26982A7A82FC5E7EDE18 |
| SHA-256 | 4E98805C5DDEB56C5C2D000270F9222F02EF4DB16041A18E577DE92F27787C89 |
| Key | Value |
|---|---|
| FileSize | 12124 |
| MD5 | 2E9FE63C79AC0006F74F24162768F259 |
| 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 | 0.16.0-2 |
| SHA-1 | 6560B03A850344E69453ABCE8398AC8FEC4D911D |
| SHA-256 | 7EE58920866A9EAAC92CC4D95FD1EDCCB827BE1D328F5E634D7931FF973D6107 |
| Key | Value |
|---|---|
| FileSize | 11980 |
| MD5 | B4AF2FA394F31E439486DE6EA0061C16 |
| 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 | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-fuzzywuzzy |
| PackageSection | python |
| PackageVersion | 0.16.0-1 |
| SHA-1 | A1EFEE5116075329D26B76A22F186A139EBC5C23 |
| SHA-256 | 4C7E249565840306071300B41D8F8E90C0BBE96D012A9E85B4CE166BF0EEDF68 |
| Key | Value |
|---|---|
| FileSize | 12076 |
| MD5 | 3A8D2DBC2D0B927D9BE81779F4BE9DFA |
| 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 | 0.16.0-1 |
| SHA-1 | 81F23818DAD0DF0E28FDEF327F1E3421C219EBCB |
| SHA-256 | 15418DAECADE631B79E99ED0B76B23D33B22FE6F436B2F05057BBF909BF7BA29 |