Result for F4D8B7A713E524074C1A6B1F3F64E05348F0D1F4

Query result

Key Value
FileName./usr/lib/libstemmer.so.0.0.0
FileSize264472
MD5026E494DC4A5027AF9A9F3821FEE9B52
SHA-1F4D8B7A713E524074C1A6B1F3F64E05348F0D1F4
SHA-25647D91470A9E4B558A07BB65A11681D43FC231754E9E8726DBBD816CD6323F5B1
SSDEEP3072:nW2daJ8zdxlFJTLFzaG+6l/pAcZdfDUL7tF63+qFiz+61XpAW:3MyJLXpAcZdfDUvtF63gS61C
TLSHT1B3443A069A82DD27E2305D771F52D2D12A30BC49AFA3C3837A94337C6C7F2929D562E5
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
MD5A66D097336F81E64B2E240FBC33EDCCA
PackageArchi686
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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
PackageRelease15.585svn.fc33
PackageVersion0
SHA-18D2759FE05C69772469077F5853649ED52046085
SHA-25695E0E698D60629560EFC8B98A90964890B12416689BBE93CF0E5A8A6405B3AF1