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authordanfe <danfe@FreeBSD.org>2014-01-27 18:49:50 +0800
committerdanfe <danfe@FreeBSD.org>2014-01-27 18:49:50 +0800
commit724177a54d4ea99223a182663a44ffe7018da445 (patch)
tree12d7742193e1adb61cc0e020f414cf1b4931594e /japanese/py-zinnia
parent8b3e3c851aed50d53b7280718c5485bae4c24f14 (diff)
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- Stagify, trim Makefile header, convert LIB_DEPENDS, contract MASTER_SITES
- Fix a typo in COMMENT; reformat and reword port description text while here
Diffstat (limited to 'japanese/py-zinnia')
-rw-r--r--japanese/py-zinnia/Makefile20
-rw-r--r--japanese/py-zinnia/pkg-descr14
2 files changed, 13 insertions, 21 deletions
diff --git a/japanese/py-zinnia/Makefile b/japanese/py-zinnia/Makefile
index 4bfae213c98c..c1df8a96356a 100644
--- a/japanese/py-zinnia/Makefile
+++ b/japanese/py-zinnia/Makefile
@@ -1,21 +1,16 @@
+# Created by: Timothy Beyer <beyert@cs.ucr.edu>
# $FreeBSD$
-# Date created: 15 Aug 2010
-# Whom: Timothy Beyer <beyert@cs.ucr.edu>
-#
-# $FreeBSD$
-#
-
PORTNAME= zinnia
PORTVERSION= 0.06
CATEGORIES= japanese python
-MASTER_SITES= SF/${PORTNAME}/${PORTNAME}/${PORTVERSION}
+MASTER_SITES= SF
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= beyert@cs.ucr.edu
-COMMENT= Zinnna Python Interface
+COMMENT= Python interface for Zinnia
-LIB_DEPENDS= zinnia.0:${PORTSDIR}/japanese/zinnia
+LIB_DEPENDS= libzinnia.so:${PORTSDIR}/japanese/zinnia
RUN_DEPENDS= zinnia:${PORTSDIR}/japanese/zinnia
LICENSE= BSD
@@ -26,13 +21,10 @@ USE_PYDISTUTILS=yes
PYDISTUTILS_PKGNAME= ${PORTNAME}_python
PYDISTUTILS_PKGVERSION= 0.0.0
-NO_STAGE= yes
-.include <bsd.port.pre.mk>
-
LDFLAGS+= -L${LOCALBASE}/lib
MAKE_ENV:= ${CONFIGURE_ENV}
post-extract:
- ${CP} -pR ${WRKSRC}/python/* ${WRKSRC}/
+ ${CP} -a ${WRKSRC}/python/* ${WRKSRC}
-.include <bsd.port.post.mk>
+.include <bsd.port.mk>
diff --git a/japanese/py-zinnia/pkg-descr b/japanese/py-zinnia/pkg-descr
index 8284b2198213..2fc1802cfdab 100644
--- a/japanese/py-zinnia/pkg-descr
+++ b/japanese/py-zinnia/pkg-descr
@@ -1,10 +1,10 @@
-Zinnia is a simple, customizable and portable online hand recognition system
-based on Support Vector Machines. Zinnia simply receives user pen strokes as a
-sequence of coordinate data and outputs n-best characters sorted by SVM
-confidence. To keep portability, Zinnia doesn't have any rendering
-functionality. In addition to recognition, Zinnia provides training module that
-allows us to create any hand-written recognition systems with low-cost.
+Zinnia is a simple, customizable, and portable online hand recognition system
+based on Support Vector Machines. Zinnia simply receives user's pen strokes
+as a sequence of coordinate data and outputs n-best characters sorted by SVM
+confidence. For portability's sake, Zinnia does not include any rendering
+functionality. In addition to recognition, Zinnia provides training module
+that allows one to create any hand-written recognition systems with low-cost.
-This is the python interface to the library.
+This port provides Python interface to the library.
WWW: http://zinnia.sourceforge.net/