Result for 024CF0B6D633577F787A9E3AC4439B4E8964AA92

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/jellyfish/__pycache__/_jellyfish.cpython-38.pyc
FileSize8448
MD5D31B4B1AD42D86FFD6F312BD54775531
SHA-1024CF0B6D633577F787A9E3AC4439B4E8964AA92
SHA-2566BE744431A28C5105F7F90DCAA3576097F17B74536F1826E6712C09224FFA134
SSDEEP192:jf9nj6CizcTLvnmAbd87QyEL5Slaqh5KBrPEpLBKrfMubbmxYp:jf9jizIbnmAbd87Pq1qh5KBrsdBKDVbf
TLSHT14502A4C26A805E55F8FCFB38F0C60217822CB6A1E2D485769117E16E8EC77CB9C15A8D
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