Result for 754CCD624556B09E27B4E6D26BFCE8E048BF2106

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.5/site-packages/fuzzywuzzy-0.14.0.dist-info/pbr.json
FileSize46
MD578B69239876F4E5714A283D6CF32D71A
SHA-1754CCD624556B09E27B4E6D26BFCE8E048BF2106
SHA-256CA7CCBC70AB17CFD1C8977E0BF8FBB33736488124E6FE66D833815175D60AD72
SHA-512D8390530C12A363D6BF9A2501D41E8C8FF7ACE707BFC077E601169F4765B492D4CAA63674C48E1FC00EC3E6E91E4ED302709FA4749BA0A6E977EF279A7BA3E18
SSDEEP3:YM9XMtjcMu1N/:YM1Aq1N/
TLSH
insert-timestamp1683829582.523069
mimetypeapplication/json
sourcesnap:sp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2
hashlookup:parent-total9
hashlookup:trust95

Network graph view

Parents (Total: 9)

The searched file hash is included in 9 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
FileSize17686
MD565AC28C4DE899C836D5B6C4B97A093AB
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
PackageVersion0.15.0-2
SHA-117B5F4A40F116E414E24D60C487E6D7B0C15AC6A
SHA-2568CC0453CB2C5397C5F39670E0E17588894FD91F16C49C48ADD23F7BD73428042
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
FileSize17590
MD54FB2FC83E1049F06BC0FC9451418C442
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
PackageVersion0.15.0-2
SHA-1265EACA81B6DEF56947C42B353DAF4711407954B
SHA-25628DF5EB1EAFDA648D58240B00AAF003FA78DB18244D468D8B7E03636ECB8081A
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