git: 2d8be352aace - main - textproc/py-tokenizer: Correct pkg-descr

The branch main has been updated by otis:

URL: https://cgit.FreeBSD.org/ports/commit/?id=2d8be352aaceb6f5195f45d2d94f92026573300e

commit 2d8be352aaceb6f5195f45d2d94f92026573300e
Author:     Juraj Lutter <otis@FreeBSD.org>
AuthorDate: 2025-08-27 14:39:30 +0000
Commit:     Juraj Lutter <otis@FreeBSD.org>
CommitDate: 2025-08-27 14:40:21 +0000

    textproc/py-tokenizer: Correct pkg-descr
    
    A text for different package has slipped through and made it
    to pkg-descr of this package.
    
    Put the correct description instead.
---
 textproc/py-tokenizer/Makefile  |  1 +
 textproc/py-tokenizer/pkg-descr | 14 ++++----------
 2 files changed, 5 insertions(+), 10 deletions(-)

diff --git a/textproc/py-tokenizer/Makefile b/textproc/py-tokenizer/Makefile
index 4f8afff7b8be..b4ad88c9c8d9 100644
--- a/textproc/py-tokenizer/Makefile
+++ b/textproc/py-tokenizer/Makefile
@@ -1,5 +1,6 @@
 PORTNAME=	tokenizer
 PORTVERSION=	3.5.0
+PORTREVISION=	1
 CATEGORIES=	textproc python
 MASTER_SITES=	PYPI
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
diff --git a/textproc/py-tokenizer/pkg-descr b/textproc/py-tokenizer/pkg-descr
index 665fa0186f94..c1f700edffe5 100644
--- a/textproc/py-tokenizer/pkg-descr
+++ b/textproc/py-tokenizer/pkg-descr
@@ -1,11 +1,5 @@
-This python utility package helps to create lazy modules. A lazy module defers
-loading (some of) its attributes until these attributes are first accessed. The
-module's lazy attributes in turn are attributes of other modules. These other
-modules will be imported/loaded only when (and if) associated attributes are
-used. A lazy import strategy can drastically reduce runtime and memory
-consumption.
+Tokenizer: A tokenizer for Icelandic text
 
-Additionally, this package provides a utility for optional imports with which
-one can import a module globally while triggering associated import errors only
-at use-sites (when and if a dependency is actually required, for example in the
-context of a specific functionality).
+Tokenization is a necessary first step in many natural language processing
+tasks, such as word counting, parsing, spell checking, corpus generation, and
+statistical analysis of text.