Result for 6E9E983F9884990639DC92EC593BC57100F811E0

Query result

Key Value
FileName./usr/share/doc/python-fuzzywuzzy/changelog.Debian.gz
FileSize601
MD5A6293FB344F5CE9C6729136F00E05270
SHA-16E9E983F9884990639DC92EC593BC57100F811E0
SHA-256BFC347AE8CA778C9A26EE701D6E066BCFD811E65E89234C1FAC0FBF4854CC2E0
SSDEEP12:XHUbi6YOqYDhDIz22sayAFao71LRGsy8Qo7xQtLDyLMsvlyxA4R2B5FK3/:X36YshUag1LUJ8TQlAbvlV4R2B5c3/
TLSHT17CF04762145ADF570475B5F0C81155B906BCD69F02BAD1F1B915DCBD4530326C3D7874
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
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