Result for C212239C675AFABAF33C7C212305011A34056991

Query result

Key Value
FileName./usr/lib/python3/dist-packages/fuzzywuzzy-0.17.0.egg-info/PKG-INFO
FileSize5644
MD556DA95DDC20A7B4999621016F1B7BF06
SHA-1C212239C675AFABAF33C7C212305011A34056991
SHA-25686B11C5DCEDFE7ED85E39BDD50D21F8C72B4F97335BA7E846711F4576EC7746E
SSDEEP96:DaTqHBW3ZDOsjF+XLy2w2j+DSXWCSwqaaYxfJqM:xHGZ1jF+XG2w2j+tyqM
TLSHT143C10F4F48C07C619B5619F51E8A0512937E005BEA570C9CFEEE0F86AF31B7E09291DC
hashlookup:parent-total5
hashlookup:trust75

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Parents (Total: 5)

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
FileSize12232
MD53E4BC3FD58511042491A021DF5E225CF
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
PackageVersion0.17.0-2build1
SHA-1B3FED7E19845EC4578BA4E03367509934206E6A1
SHA-25618E2EBFD71F4BC4A5EDACCC3FD84E83E1369FB6115CF6D2420376440AD052380
Key Value
FileSize20312
MD57F389FBEF12E24B2504176B4A18F6555
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.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.17.0-1
SHA-198A628CBAAFECE46895A5FA33353CF1B4C2375F9
SHA-256C0D25CC23F8961874D508B82A6EAC787B04CE775E31D1085E060729E722A3E32
Key Value
FileSize20224
MD5094EF4F25BA704CA0B3AEAEC569112E9
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.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-fuzzywuzzy
PackageSectionpython
PackageVersion0.17.0-1
SHA-1A08501F54F963293F752AA59DC4647BEA1A61EDA
SHA-2563371E702B716188BA1FEFF57427ECEC58F71F6FA45AAD3515F18DD8524D9BFD6
Key Value
FileSize12160
MD5AB3CF2ECA2B2029AD80892A041FFCA92
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
PackageVersion0.17.0-1
SHA-1DFD7504D9AB3A0851C9532A9D0A54B87320DDC45
SHA-25695EA89748D383BC20E804E072BF0722A396D28A207237009B20409EF9CB4ED9C
Key Value
FileSize12064
MD5096CF5F6D874695BFE047E49669C24D0
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
PackageVersion0.17.0-1
SHA-14E985B752D6F411294C3855823C28E5DAE70153D
SHA-25630E95C0C4A7DEB50133C30C7011AA27BDB37BA49484E7E062690891FED01DAA7