Result for 3C06A1EF70CD47F04C9144AA95B11A0E1CF0AE1B

Query result

Key Value
FileName./usr/lib64/libstemmer.so.0.0.0
FileSize403560
MD52A8EAB7AC08883FDA8821A474BE9ED6B
SHA-13C06A1EF70CD47F04C9144AA95B11A0E1CF0AE1B
SHA-256FBC1C2D414E70AB4F31FE429BC14F31A92C062BDB98819E026AA8DDB138918A4
SSDEEP3072:3+lk67hGa3zbrNCx+hYcHM09H1hsbBxEjd9d0VbtUIIzrvF1CqZlRV1Yu3P7Y9o/:WDhHQbt8zzPCS1Yufk9HHxYJD//kyZi
TLSHT10984EAD27680C847E3941E308DA6F2A9B77DFC959E2EF7067A89733B18732D0246D581
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
MD5637BD66F97E1ADD73634142421CEE151
PackageArchppc64
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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
PackageRelease3.585svn.fc23
PackageVersion0
SHA-114670FD8559E5D74DF5AA0DF305D5CE516D076AC
SHA-2568E9EA1F3E88AF3B7FBC92C78BAE73BC98F86D0B9D98186ED6245C76AD08E1D50