Result for 03DB9470D1554AD489CB35748258C8E04BCF353C

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.5/site-packages/fuzzywuzzy/fuzz.py
FileSize8417
MD58BA37883ADA94A39BF85913EF531A826
SHA-103DB9470D1554AD489CB35748258C8E04BCF353C
SHA-256EA040508AF2A49508FD4C493BFAF6F35E26B5B0B80E87658E60DF0A4CDC4DA15
SHA-512008FADD3348FB60A56111490A4AF91C2577D64559A863591E3BEEBBB049D1066504EB6FCC59C7D079CF8A2208B9A4241D38644CF29326CB0B57266446A225101
SSDEEP192:qbQHTqwxKd5xoSJRGM4YLdRjjlRj4W8jpTPspfRZEfRZ7Qgqnor1l:e65Yd5xow74Q78WapTMJZEJZuW3
TLSHT1E30242ABFCD01F97CF871477189B814362599B234F4725B8F86DC5A42F00C98C2B74A9
insert-timestamp1683829555.719987
mimetypetext/x-python
sourcesnap:sp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2
hashlookup:parent-total7
hashlookup:trust85

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Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

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
SHA-1C2CD5C63C41CB1B0956882C08D535E8752606DBC
snap-authoritycanonical
snap-filenamesp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2.snap
snap-idsp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2
snap-namehome-assistant-morphis
snap-publisher-id4BKZlf4WMNBKgQfij0rftmp5BzDdVhlf
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2016-12-14T11:04:02.216527Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/sp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2.snap
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
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
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
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