Result for CAFE24F132EF42A2F326787067C2BEFB509FB5D0

Query result

Key Value
FileNamelibstemmer.spec
FileSize5479
MD50A240131AFFB657D27F35C8468A2CF5B
SHA-1CAFE24F132EF42A2F326787067C2BEFB509FB5D0
SHA-2567C1C17A236EBE5E22244E7B8BDE95DAF8E2FDA673C0AF5B9D5313B3991BC31C4
SSDEEP48:QuOaTRr61Y4Z0f8loTfh8aHR3OfQ5J8loTfh8aHR3OxIWpjXjN0Y7QASpjxKY1zG:QkdrN4S/1Nr/1AhdXjJQP9x/qvsIwEb
TLSHT175B184B3810849B727C43F99E2E5728CF52E5925AEB2F44C109EC8B4714B839B33751D
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
MD50430813C757FCB424A9D249001B686EE
PackageArcharmv7hl
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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-11C0EBBDBFDA135AF47C4AE4F6B36041FEBAC6B56
SHA-25614CC6EC7456905763F295A57239EEDCEF6BB197356D2D7ED6B9BD40863020A75