pystemmer 2.2.0.1-2build1 source package in Ubuntu

Changelog

pystemmer (2.2.0.1-2build1) noble; urgency=medium

  * No-change rebuild with Python 3.12 only

 -- Graham Inggs <email address hidden>  Wed, 10 Apr 2024 18:26:15 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Debian Python Team
Architectures:
any
Section:
python
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Oracular release universe python
Noble release universe python

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File Size SHA-256 Checksum
pystemmer_2.2.0.1.orig.tar.gz 295.9 KiB 9f3b366f1ed06b49dc1868bf0aefd884423db80f3431be442d0f993e448cc67b
pystemmer_2.2.0.1-2build1.debian.tar.xz 5.8 KiB ce0d8e44143f2e4b28f90ee55abba93e6b1de9b633e3d4fec72cbceafdd7aee6
pystemmer_2.2.0.1-2build1.dsc 2.1 KiB 40d0d0131dd4d1acda687492d5ee5e05046963e1fb268561b90b7e7c7f68c49a

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Binary packages built by this source

python3-stemmer: Python 3 bindings for libstemmer - snowball stemming algorithms

 PyStemmer 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".
 .
 PyStemmer provides algorithms for several (mainly European) languages, by
 wrapping the libstemmer library from the Snowball project in a Python 3
 module.
 .
 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 although this has been superseded by an improved algorithm, the original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.

python3-stemmer-dbgsym: debug symbols for python3-stemmer