| Key | Value |
|---|---|
| FileName | ./usr/lib/python3/dist-packages/fuzzywuzzy/process.py |
| FileSize | 11494 |
| MD5 | 7B278447056878524C2FA095DA16454B |
| SHA-1 | 0FCE3FDF0659B2A793EA5279DC1302009ADF07D0 |
| SHA-256 | 43E507F7FA0714FCE6514F8DACB68EBCACA7DDA5D812258F4864B828DD67F24D |
| SSDEEP | 192:3g/y4bMrgl6tJXnHJfnPFc/y4jDOea3/ItcEBwks3hb600kK5tEY:2y44r9tdHVPIy4j+3/5EBwkoh30kK53 |
| TLSH | T16132752FB48B252289C55859B09BC1D29759DD3B6312157CBDBEC26C2F03C3983B36E9 |
| hashlookup:parent-total | 5 |
| hashlookup:trust | 75 |
The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 12232 |
| MD5 | 3E4BC3FD58511042491A021DF5E225CF |
| 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 | 0.17.0-2build1 |
| SHA-1 | B3FED7E19845EC4578BA4E03367509934206E6A1 |
| SHA-256 | 18E2EBFD71F4BC4A5EDACCC3FD84E83E1369FB6115CF6D2420376440AD052380 |
| 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 | 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 |
| Key | Value |
|---|---|
| FileSize | 12064 |
| MD5 | 096CF5F6D874695BFE047E49669C24D0 |
| 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 | 0.17.0-1 |
| SHA-1 | 4E985B752D6F411294C3855823C28E5DAE70153D |
| SHA-256 | 30E95C0C4A7DEB50133C30C7011AA27BDB37BA49484E7E062690891FED01DAA7 |