Result for B64AE07900C5364AB14870CF099C2F0CC1E6B7B1

Query result

Key Value
FileName./usr/share/doc/python-fuzzywuzzy/changelog.Debian.gz
FileSize655
MD5392BFFCB7AFCB521630409347FE2AFE2
SHA-1B64AE07900C5364AB14870CF099C2F0CC1E6B7B1
SHA-256E684D33CDF43C10F47D23497ABC0DE8033BD945754D8738185F1FE649A55BF26
SSDEEP12:X7mFCMShhd+uqiGTAp7oy68YrgyH8Ox3xvtZAfZ2j9jDgIG4sb61y2R:XyFtS3GlA+QYkyFbLAfZ2jB041y2R
TLSHT10CF083081DABA1D8DCE000FF80187EA6ECE78C2397B12910208A9A4BA22480BAD2400C
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

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