Result for 13A47203CB8BF97006515332EDC9F670DD5A6A85

Query result

Key Value
FileName./usr/lib/python3/dist-packages/fuzzywuzzy-0.14.0.egg-info/PKG-INFO
FileSize22920
MD58FC38351473F7BEB4EDD9A967FF7533B
SHA-113A47203CB8BF97006515332EDC9F670DD5A6A85
SHA-25653B47BD73BDCED5727A3C6F6D22B13379E6EAE8E0E07BD7B34B5E22633A6C9A5
SSDEEP384:hEUwi5rPL67cyV12rPd34FomzM2/R+dWb7oUbHdB27u:h7F4ExGFzeda7oUrdR
TLSHT10EA2A61F774413B206C206E16A4B58DBA32EC47B722A1454789DC25D2B7BF3583BFA98
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
FileSize17112
MD5BC496D5A5B0390D6CD37EE5585401DB8
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
PackageVersion0.14.0-1
SHA-168DAC8661AA9DF8DEA057A3B0F63A34457EC59CC
SHA-256DC086A18D7A250B322761ECFE5FFE792D0958FE381A5B73617EEB8514CC07C93
Key Value
FileSize23320
MD58EF7D36A7C45A5962F59882CE651AFDE
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.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython-fuzzywuzzy
PackageSectionpython
PackageVersion0.14.0-1
SHA-1660746C452898FCE31FA09C5D5E9BCD2AFC9EB54
SHA-256739DEAD6D740C807988F8ADF387344013BC3117EF7102E60A3CE81932E4A7674
Key Value
FileSize17020
MD5DE62FF83CD3F669B3F405F7F751D853C
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
PackageVersion0.14.0-1
SHA-14F86407C98283D5B71F95361DA9A603A9AB4856E
SHA-256C4F5A98CEB9069D06872C3B00ECB8D2322535D4D2F0FE4A25DCAE595EAC70AE9
Key Value
FileSize23410
MD5BA7F4169F8D4542A270421D97548E8A4
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.
PackageMaintainerDebian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.14.0-1
SHA-1138E65A749FCEFDBADCF077723029B97208E169F
SHA-2565378BC889273C2094219510518CDF600BCDF6DF4F35D33CAB43A3A57A7174070