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.

This is the python interface to the library.

WWW: http://zinnia.sourceforge.net/

PR:		ports/149686
Submitted by:	Timothy Beyer <beyert at cs.ucr.edu>
Feature safe:	yes

5 files changed, 56 insertions, 0 deletions

diff --git a/japanese/Makefile b/japanese/Makefile
index 8705cc474b0a..47eafcce9983 100644
--- a/japanese/Makefile
+++ b/japanese/Makefile
@@ -279,6 +279,7 @@
     SUBDIR += ptex
     SUBDIR += py-kanjilib
     SUBDIR += py-mecab
+    SUBDIR += py-zinnia
     SUBDIR += pycodec
     SUBDIR += pycodec-zope
     SUBDIR += qkc
diff --git a/japanese/py-zinnia/Makefile b/japanese/py-zinnia/Makefile
new file mode 100644
index 000000000000..266ed6367704
--- /dev/null
+++ b/japanese/py-zinnia/Makefile
@@ -0,0 +1,37 @@
+# New ports collection makefile for:	py-zinnia
+
+# 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}
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	beyert@cs.ucr.edu
+COMMENT=	Zinnna Python Interface
+
+LIB_DEPENDS=	zinnia.0:${PORTSDIR}/japanese/zinnia
+RUN_DEPENDS=	zinnia:${PORTSDIR}/japanese/zinnia
+
+LICENSE=	BSD
+LICENSE_FILE=	${WRKSRC}/COPYING
+
+USE_PYTHON=	yes
+USE_PYDISTUTILS=yes
+PYDISTUTILS_PKGNAME=	${PORTNAME}_python
+PYDISTUTILS_PKGVERSION=	0.0.0
+
+.include <bsd.port.pre.mk>
+
+CONFIGURE_ENV=	LDFLAGS="${LDFLAGS} -L${LOCALBASE}/lib"
+MAKE_ENV:=	${CONFIGURE_ENV}
+
+post-extract:
+	${CP} -pR ${WRKSRC}/python/* ${WRKSRC}/
+
+.include <bsd.port.post.mk>
diff --git a/japanese/py-zinnia/distinfo b/japanese/py-zinnia/distinfo
new file mode 100644
index 000000000000..18174a23dba3
--- /dev/null
+++ b/japanese/py-zinnia/distinfo
@@ -0,0 +1,2 @@
+SHA256 (zinnia-0.06.tar.gz) = ece3af93f937282971634fd81d3e997f848e8cfa958220e26a4564ca064ac20b
+SIZE (zinnia-0.06.tar.gz) = 457415
diff --git a/japanese/py-zinnia/pkg-descr b/japanese/py-zinnia/pkg-descr
new file mode 100644
index 000000000000..8284b2198213
--- /dev/null
+++ b/japanese/py-zinnia/pkg-descr
@@ -0,0 +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.
+
+This is the python interface to the library.
+
+WWW: http://zinnia.sourceforge.net/
diff --git a/japanese/py-zinnia/pkg-plist b/japanese/py-zinnia/pkg-plist
new file mode 100644
index 000000000000..ce8e38e2cf76
--- /dev/null
+++ b/japanese/py-zinnia/pkg-plist
@@ -0,0 +1,6 @@
+%%PYTHON_SITELIBDIR%%/_zinnia.so
+%%PYTHON_SITELIBDIR%%/zinnia.py
+%%PYTHON_SITELIBDIR%%/zinnia.pyc
+%%PYTHON_SITELIBDIR%%/zinnia.pyo
+@dirrmtry %%PYTHON_SITELIBDIR%%
+@dirrmtry %%PYTHON_LIBDIR%%