Result for B227FF823ABB7496991A6A07AD5E95D977D27DCF

Query result

Key Value
FileNamelibstemmer.so.0d.0.0
FileSize805208
MD5BF5C94752B62FE0232475571B73166AB
RDS:package_id294729
SHA-1B227FF823ABB7496991A6A07AD5E95D977D27DCF
SHA-2562445C29B74B77743CC6132948B5CA4301DF0F9FFD9AB8417FD5B2AAD4BDEC003
SSDEEP6144:A4i5Uo8VIBcHdO/mj3PyYO8/kC3o0q4JHAALGt5pDDYGePPW7yA:s5b0dB28/kso0y
TLSHT192055D19FA94C91DC93482368DABC1F07B31B9494D21530B3248F73D3E376AA9B9B9D1
insert-timestamp1696432972.3777633
sourcedb.sqlite
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
FileSize119224
MD5BF4BC56C848CB42190F22EEB0505DAAB
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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
PackageVersion2.1.0-1
SHA-10D9B41C6AE5C2064F1D262050DF261C686D8A2FA
SHA-256FD8FAFD29D1E89B7787151148284989862F55C1FE4817984369A776EEC2F2399