Result for B326C6B7CD38DC95FD9E3DA34E5E70BAC650E367

Query result

Key Value
FileName./usr/lib64/libstemmer.so.0.0.0
FileSize469080
MD51597977D487A36DAD8DD0321B4193E19
SHA-1B326C6B7CD38DC95FD9E3DA34E5E70BAC650E367
SHA-2565CF4E2BB64E10FDA932FE1AF5021C6AF8CFA9F534FD90358CADF27651A309A78
SSDEEP3072:W2+r13OarGRwqjmSznvl2oB9n6oJOFCaZAWjm8AKjdZ2Us1sq8BjwEYnjzNaMqtA:uIDl22lOlRAG4Vjm7E3DqagqQ6O
TLSHT107A4CAC7B644C447D3940E308CA7E2B9B7BEBC949E69F7067689733B18736E0246D186
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
MD5148B301CA41A1FB957122AD9FEBCB5D4
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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
PackageRelease2.585svn.fc22
PackageVersion0
SHA-12F6906B0B9F9C6D4232890131AACFE79764B1A04
SHA-25618FE87EC856B94FE6D94C7AF497EC2D3DB11A1C851AF9DB38A352498C6049F10