Result for 0CADDAC30E357E1C6A605826D629FBE0380D3637

Query result

Key Value
FileName./usr/lib/python3/dist-packages/fuzzywuzzy/utils.py
FileSize2300
MD58CA4E8668D5474CAC01A369538CE39BC
SHA-10CADDAC30E357E1C6A605826D629FBE0380D3637
SHA-2565A20BA1FD926618B28C4D9B1200247F554D0FA32EBB908CDAB70DFE5257B2ADC
SSDEEP48:Pu/wwBO5gg8ZB+lzBZ1GfOI4I7kSvmGHt6IsZbeI7d8iywtEsIwFBz0B4JPRqsBp:Oww0mlB+l9Z6OreAvRo8EWFx0Lsiq9t
TLSHT1F44112CAED827859C797E67889D2E002A29CBD43615530B8FCCD81683F4443D82B6BF9
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
FileSize10696
MD51A66E56A8159C65F771D80862B5C19D2
PackageDescriptionFuzzy string matching in Python (Python 3 version) 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 sort: 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
PackageVersion0.10.0-1
SHA-1F5F5A24DEE4F58C5B727B3A8569ED7D9E683D9BD
SHA-256DCC85146942FD7506E469955923A12AB99F8133D1E4A0892D23B74F633A55A14
Key Value
FileSize10796
MD59B63717E5859651B144808240A7EFE53
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 sort: 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
PackageVersion0.11.1-2
SHA-1A7FE4F10628635E9AF609B5A50EBE59620F37840
SHA-256EC5A042CCA0DE032EC8DC6C12F53587F8C5D55ECCB48B7CBD5AAEF8968D9121B
Key Value
FileSize10592
MD5961F10023E5877F9DB09E673EC490326
PackageDescriptionFuzzy string matching in Python 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 sort: 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
PackageVersion0.10.0-1
SHA-12F269922E786C97F0C0C969B603D6CC3CAD375F8
SHA-2560990E0D9EBC76FFA87893A017A613448901AFDB051A119A138577E14F1DE1A5C
Key Value
FileSize10884
MD51700071CD20EFC3971A7B552E17C0B00
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 sort: 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
PackageVersion0.11.1-2
SHA-171D15538CDD47E9E897CA15F85DFDBEE8844CEC5
SHA-2564FA84942674D8D152B7AA8D7FFE2B3683522256F77D854DC0FC57B251BDBBF61