Result for AB0C1FE352DB218B8F9A0C82C71C453380EA7AE8

Query result

Key Value
FileName./usr/lib/libstemmer.so.0.0.0
FileSize243428
MD5ADD6CE4597B7F2BC888DD13CD0DD9219
SHA-1AB0C1FE352DB218B8F9A0C82C71C453380EA7AE8
SHA-2569E8D2A8E25B41BD7C3A00D141611519AA33E3C1389AEDCA2AF134AD1A2C08E68
SSDEEP3072:Xh08UofIUNWHr5qWhxeIip/YSgN84PgCrNHXbcxWThuJ60DF+6wF3xIiDnBZkcD9:RMofIHQLgPN8KrNHMWTw706A3xIABZk
TLSHT121341A12A981CE86C0511F77BE6AC2C9733279A09FEA93477540633C3F7F29B895A1C5
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
MD50B329F32891B736493F491D64598E9EE
PackageArcharmv7hl
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease16.585svn.fc34
PackageVersion0
SHA-15B1FA82FC09622E308087773C1C39DA0A2F987A4
SHA-256F6B59DD7AE4D9A70CCD0EF6C3DEA0567E384FA8DCA042D58AAF3546056233682