Result for E2CFF50382B8BD641F4C9E6B188C4CD76E2B26CC

Query result

Key Value
FileName./usr/lib64/libstemmer.so.0.0.0
FileSize401136
MD533A1003AF59DA0074DA4B2C6D3E1D85E
SHA-1E2CFF50382B8BD641F4C9E6B188C4CD76E2B26CC
SHA-256E930DAC49611AAB214EAB7687017717A6ADA2546693912DFD3B93AA87E093A44
SSDEEP3072:uO+i2SuW63oTdszmaK2XEQ8KmwwPiWQq0abQ145rOHYEwr2v929VhNGTOvVGXqhj:uO+oZ4DexiWX07145rOHn3Kv
TLSHT14484FCD2F948DF43EC441D3A8DEBA5D1372E78894E69E2473189B33FAD7B252854B900
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
MD5FE0AA5AFE7B8CB2D9E2CF5063DEAF2A9
PackageArchppc64le
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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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-13045F1AD6F02AC7CF20DE39C98CFFE884B9228A6
SHA-256126BF3B0EE58FD2A0CA1B9A9F814F2D0C850204DB8F4FD2A3492DE09184A6642