Result for 5C2F40689EE27DA579749DFFCF413C876773476D

Query result

Key Value
FileName./usr/lib/python3/dist-packages/fuzzywuzzy-0.18.0.egg-info/PKG-INFO
FileSize4868
MD53F247C9BE2E492330904E669561CE300
SHA-15C2F40689EE27DA579749DFFCF413C876773476D
SHA-25606074A9B12E3D858F1D2871E588E97B32316B4C76774881035A940D6E49B8E74
SSDEEP96:DaqLaaYxfJqIqHQTUUusjl+3Ly2Q2j+DyXWiSNmdyJ:hgqhHAUYjl+3G2Q2j+tGE
TLSHT1D5A1416F58D04C919F6219D91E8F055293BF504BA626089CFDEF0F86EB30A7E017A4DC
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
FileSize20048
MD5058104A505D5B80F70FCB20B6E2DE29C
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.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython3-fuzzywuzzy
PackageSectionpython
PackageVersion0.18.0-4
SHA-1B6498C5D8E6F48ED7854253E4779934A03A90477
SHA-256DDDC6694F53D48179CE2B3A181CD25616357508D25B7102222334731734E7861