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
SHA-1	C2CD5C63C41CB1B0956882C08D535E8752606DBC
snap-authority	canonical
snap-filename	sp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2.snap
snap-id	sp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2
snap-name	home-assistant-morphis
snap-publisher-id	4BKZlf4WMNBKgQfij0rftmp5BzDdVhlf
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2016-12-14T11:04:02.216527Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/sp1gU9gWoOsMflyuYlm4uLRwDYMak8Nv_2.snap

Key	Value
FileSize	17020
MD5	DE62FF83CD3F669B3F405F7F751D853C
PackageDescription	Python 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-fuzzywuzzy
PackageSection	python
PackageVersion	0.14.0-1
SHA-1	4F86407C98283D5B71F95361DA9A603A9AB4856E
SHA-256	C4F5A98CEB9069D06872C3B00ECB8D2322535D4D2F0FE4A25DCAE595EAC70AE9

Key	Value
FileSize	17112
MD5	BC496D5A5B0390D6CD37EE5585401DB8
PackageDescription	Python 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-fuzzywuzzy
PackageSection	python
PackageVersion	0.14.0-1
SHA-1	68DAC8661AA9DF8DEA057A3B0F63A34457EC59CC
SHA-256	DC086A18D7A250B322761ECFE5FFE792D0958FE381A5B73617EEB8514CC07C93

Key	Value
FileSize	23320
MD5	8EF7D36A7C45A5962F59882CE651AFDE
PackageDescription	Python 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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python-fuzzywuzzy
PackageSection	python
PackageVersion	0.14.0-1
SHA-1	660746C452898FCE31FA09C5D5E9BCD2AFC9EB54
SHA-256	739DEAD6D740C807988F8ADF387344013BC3117EF7102E60A3CE81932E4A7674

Key	Value
FileSize	23410
MD5	BA7F4169F8D4542A270421D97548E8A4
PackageDescription	Python 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.
PackageMaintainer	Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
PackageName	python3-fuzzywuzzy
PackageSection	python
PackageVersion	0.14.0-1
SHA-1	138E65A749FCEFDBADCF077723029B97208E169F
SHA-256	5378BC889273C2094219510518CDF600BCDF6DF4F35D33CAB43A3A57A7174070