Result for 7330ED9813683AC927835159E304BD18E8FE967D

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/jellyfish/__pycache__/_jellyfish.cpython-38.opt-1.pyc
FileSize8448
MD5BC3F14639B76D8D7FF4FEDBFBC86573E
SHA-17330ED9813683AC927835159E304BD18E8FE967D
SHA-256C62476D49FD3ECFA2A31F69424F13684CC33FCACFC7FA31AEA0033F1F963C7B5
SSDEEP192:jPzbw2RiPTLRoGyEL5S5iQpxDPEpLBKXZubnKp:jPzbG79o9qHQpxDsdBKXAbnKp
TLSHT13A02D6C26A805E55F4ECFB38F0C10616823EB6A1E2C48672951BE19E8EC77CF9C05B4D
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
MD59BFB5464604FFA24C311895970A10BAE
PackageArchx86_64
PackageDescriptionJellyfish is a python library for doing approximate and phonetic matching of strings. Includes algorithms for string comparison: Levenshtein Distance, Damerau-Levenshtein Distance, Jaro Distance, Jaro-Winkler Distance, Match Rating Approach Comparison and Hamming Distance. And algorithms for phonetic encoding: American Soundex, Metaphone, NYSIIS (New York State Identification and Intelligence System) and Match Rating Codex.
PackageNamepython3-jellyfish
PackageRelease2.7
PackageVersion0.7.2
SHA-1BDDB2C48931586D99D113CA0F15000404A343163
SHA-25663734C969E341BBACFA466DCEAE8DAA126A9F455FEE1109B0BF7C3770AEA65ED