Result for 9ECB30BB55EFED713DC3B3B7C62AC00AB0CB61B2

Query result

Key Value
FileNamelibstemmer.spec
FileSize5324
MD5A5F859C1677434922CAF869748401F40
SHA-19ECB30BB55EFED713DC3B3B7C62AC00AB0CB61B2
SHA-25633F7D82D212160847CF402F89377EF1EEFA5AD1D3F132D46DBB1F064E32CBA1A
SSDEEP48:QdOaTRr61Y4Z0f8loTfh8aHR3OfQ5J8loTfh8aHR3OxIWpjXjN0Y7QAXjxKY1z76:QPdrN4S/1Nr/1AhdXjJQc9x/qvsIwEb
TLSHT170B195B3810849B727C43F99E2E2729CF52E5965AEB2F44D109EC8B4714B839B33751D
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
MD51BD9E6D6D25762F009BA377EF49711DF
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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
PackageRelease14.585svn.fc32
PackageVersion0
SHA-1642F6089424010BE7FA824ED10E956E04D3311C6
SHA-2563933934E503574343F5EAF671E9CD696460581C2EC358D26B1D0FF744DE7630A