Result for 6E9FA7B76B9E791550471B4A643B1C6DA6B9A9CA

Query result

Key Value
FileName./usr/lib/powerpc64le-linux-gnu/libstemmer.so.0d.0.0
FileSize399424
MD5ECC093026C0B35034629A61D74950983
SHA-16E9FA7B76B9E791550471B4A643B1C6DA6B9A9CA
SHA-2567524FC7DCBAA38A231B8510D9DF181D7962087C4E69E0F364F83A7DFB655B437
SSDEEP3072:rGdaV3OwoWjf2kJsrt2iwFLM90obrMunfC9HoEocxGOm9zcNS9SjHz3lC/TX:rGKeM8jkk9b9fC9HecT
TLSHT15884BAD1BE54DE43EC841D338CA7FAC47B2878884E59F2437698B73FAA77252891B501
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize55532
MD5E96613DBD823D3155E9C49C618CAE0B6
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerStefano Rivera <stefanor@debian.org>
PackageNamelibstemmer0d
PackageSectionlibs
PackageVersion0+svn585-1+b2
SHA-17CD107D751E20726DFA6AD91D6337EA10DE5157A
SHA-2566CF6C9DBBC0EDB727C3BFAB26E1505DBB31796320B9D098F8CA1BB1A0D5B50BD