Result for 9C6C0BF87ACE754594769AE48AB55FE11F7D164B

Query result

Key Value
FileName./usr/lib/python3/dist-packages/fuzzywuzzy/process.py
FileSize12569
MD5E0992EF9D5CA9E3CB58AC27432254D6E
SHA-19C6C0BF87ACE754594769AE48AB55FE11F7D164B
SHA-256BF38A5DA83F17F4DCF38F094902712080D76E719177929D9728FB1D9E4C26353
SSDEEP384:u6py44r9tdHVPIy4j+3/5EBwkoh30kK53:5pT4r9eTj+3uu3RQ
TLSHT1FB42862FB48B253289C54869B09BC1D2975AD93B6316157CBCBEC25C2F03C3983B76D9
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

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
FileSize12036
MD56CF16F017F310E64F026A767E31F5A17
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-fuzzywuzzy
PackageSectionpython
PackageVersion0.16.0-2
SHA-15CC40B87E3967560027A26982A7A82FC5E7EDE18
SHA-2564E98805C5DDEB56C5C2D000270F9222F02EF4DB16041A18E577DE92F27787C89
Key Value
FileSize12124
MD52E9FE63C79AC0006F74F24162768F259
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.16.0-2
SHA-16560B03A850344E69453ABCE8398AC8FEC4D911D
SHA-2567EE58920866A9EAAC92CC4D95FD1EDCCB827BE1D328F5E634D7931FF973D6107
Key Value
FileSize11980
MD5B4AF2FA394F31E439486DE6EA0061C16
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-fuzzywuzzy
PackageSectionpython
PackageVersion0.16.0-1
SHA-1A1EFEE5116075329D26B76A22F186A139EBC5C23
SHA-2564C7E249565840306071300B41D8F8E90C0BBE96D012A9E85B4CE166BF0EEDF68
Key Value
FileSize12076
MD53A8D2DBC2D0B927D9BE81779F4BE9DFA
PackageDescriptionPython 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.16.0-1
SHA-181F23818DAD0DF0E28FDEF327F1E3421C219EBCB
SHA-25615418DAECADE631B79E99ED0B76B23D33B22FE6F436B2F05057BBF909BF7BA29