Result for BCA36A807F88E45DF0B2FEC63A5CBA3018BEF6CA

Query result

Key Value
FileName./usr/lib/powerpc64le-linux-gnu/libstemmer.so.0d.0.0
FileSize919744
MD59AAD47FD3ACE0B515BC31D318CAA7E93
SHA-1BCA36A807F88E45DF0B2FEC63A5CBA3018BEF6CA
SHA-25662DC5CD52596AF0A95F302F250655FF2817A8B33D926C64D9AD0748CEAC53D13
SSDEEP6144:EtO2R/LerB8rZQ7gRGTuPWjOSnX7Q7zG+5w3mHJAEBeI/1539gTCb:iR/arB8BBqI/9gu
TLSHT16715E9C9B994DB47D8440D368CA6F6E0336C78998D5D73033790F33FBAB62A69A0B445
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
FileSize118544
MD55D27FA1D0BF88A8BE52B02A8516AAB83
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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
PackageVersion2.1.0-2
SHA-133B832161BA2EF5BB52F3E7F5A9672D2C6F16536
SHA-2560364DBFBF2A6A44B946149EB0F6FDFA4D9534CD4EC7F7711AD1156AD1A15AC36