git: e909cbd51c96 - main - misc/py-gluoncv: Remove expired port

From: Rene Ladan <rene_at_FreeBSD.org>
Date: Mon, 02 Jun 2025 17:33:24 UTC
The branch main has been updated by rene:

URL: https://cgit.FreeBSD.org/ports/commit/?id=e909cbd51c968b2510cf799538b13e01e22f69f5

commit e909cbd51c968b2510cf799538b13e01e22f69f5
Author:     Rene Ladan <rene@FreeBSD.org>
AuthorDate: 2025-06-02 17:33:18 +0000
Commit:     Rene Ladan <rene@FreeBSD.org>
CommitDate: 2025-06-02 17:33:18 +0000

    misc/py-gluoncv: Remove expired port
    
    2025-06-01 misc/py-gluoncv: Depends on expiring misc/py-mxnet
---
 MOVED                     |  1 +
 misc/Makefile             |  1 -
 misc/py-gluoncv/Makefile  | 44 --------------------------------------------
 misc/py-gluoncv/distinfo  |  3 ---
 misc/py-gluoncv/pkg-descr | 10 ----------
 5 files changed, 1 insertion(+), 58 deletions(-)

diff --git a/MOVED b/MOVED
index add4afdf8dcd..961ba7af0ae0 100644
--- a/MOVED
+++ b/MOVED
@@ -4478,3 +4478,4 @@ devel/py-decopatch||2025-06-02|Has expired: Depends on expired devel/py-makefun
 graphics/rubygem-ezprint||2025-06-02|Has expired: Depends on expired graphics/rubygem-pdfkit
 databases/datasette||2025-06-02|Has expired: Depends on expired devel/py-pytest-runner
 www/py-pydrive2||2025-06-02|Has expired: Depends on expired security/py-oauth2client
+misc/py-gluoncv||2025-06-02|Has expired: Depends on expiring misc/py-mxnet
diff --git a/misc/Makefile b/misc/Makefile
index b82b900fbad6..c1db15ac2b91 100644
--- a/misc/Makefile
+++ b/misc/Makefile
@@ -444,7 +444,6 @@
     SUBDIR += py-fleep
     SUBDIR += py-fuzzy
     SUBDIR += py-gguf
-    SUBDIR += py-gluoncv
     SUBDIR += py-gluonnlp
     SUBDIR += py-gpiozero
     SUBDIR += py-halo
diff --git a/misc/py-gluoncv/Makefile b/misc/py-gluoncv/Makefile
deleted file mode 100644
index a7aabd910f5a..000000000000
--- a/misc/py-gluoncv/Makefile
+++ /dev/null
@@ -1,44 +0,0 @@
-PORTNAME=	gluoncv
-DISTVERSIONPREFIX=	v
-DISTVERSION=	0.9.0
-PORTREVISION=	3
-CATEGORIES=	misc # machine-learning
-PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
-
-MAINTAINER=	yuri@FreeBSD.org
-COMMENT=	Gluon CV toolkit for state-of-the-art deep learning in computer vision
-WWW=		https://gluon-cv.mxnet.io/
-
-LICENSE=	APACHE20
-LICENSE_FILE=	${WRKSRC}/LICENSE
-
-DEPRECATED=	Depends on expiring misc/py-mxnet
-EXPIRATION_DATE=2025-06-01
-
-PY_DEPENDS=	${PYNUMPY} \
-		${PY_PILLOW} \
-		${PYTHON_PKGNAMEPREFIX}matplotlib>0:math/py-matplotlib@${PY_FLAVOR} \
-		${PYTHON_PKGNAMEPREFIX}mxnet>0:misc/py-mxnet@${PY_FLAVOR} \
-		${PYTHON_PKGNAMEPREFIX}portalocker>0:devel/py-portalocker@${PY_FLAVOR} \
-		${PYTHON_PKGNAMEPREFIX}requests>0:www/py-requests@${PY_FLAVOR} \
-		${PYTHON_PKGNAMEPREFIX}scipy>=1.0:science/py-scipy@${PY_FLAVOR} \
-		${PYTHON_PKGNAMEPREFIX}tqdm>0:misc/py-tqdm@${PY_FLAVOR}
-BUILD_DEPENDS=	${PY_DEPENDS}
-RUN_DEPENDS=	${PY_DEPENDS}
-
-USES=		compiler:c11 python localbase
-USE_GITHUB=	yes
-GH_ACCOUNT=	dmlc
-GH_PROJECT=	gluon-cv
-USE_PYTHON=	distutils cython autoplist
-
-PYDISTUTILS_BUILDARGS=		--with-cython
-PYDISTUTILS_INSTALLARGS=	--with-cython
-
-post-patch: # https://github.com/dmlc/gluon-cv/issues/1095
-	@truncate -s 0 ${WRKSRC}/README.md
-
-post-install:
-	@${FIND} ${STAGEDIR}${PREFIX} -name "*.so" | ${XARGS} ${STRIP_CMD}
-
-.include <bsd.port.mk>
diff --git a/misc/py-gluoncv/distinfo b/misc/py-gluoncv/distinfo
deleted file mode 100644
index faff6933d8b7..000000000000
--- a/misc/py-gluoncv/distinfo
+++ /dev/null
@@ -1,3 +0,0 @@
-TIMESTAMP = 1609231652
-SHA256 (dmlc-gluon-cv-v0.9.0_GH0.tar.gz) = 0b31732d588d2240762989fe4c6dc154353793fe2eea4b160787fd07a98be4c9
-SIZE (dmlc-gluon-cv-v0.9.0_GH0.tar.gz) = 30718835
diff --git a/misc/py-gluoncv/pkg-descr b/misc/py-gluoncv/pkg-descr
deleted file mode 100644
index e5f871e351e4..000000000000
--- a/misc/py-gluoncv/pkg-descr
+++ /dev/null
@@ -1,10 +0,0 @@
-GluonCV provides implementations of state-of-the-art (SOTA) deep learning
-algorithms in computer vision. It aims to help engineers, researchers, and
-students quickly prototype products, validate new ideas and learn computer
-vision.
-
-GluonCV features:
-* training scripts that reproduce SOTA results reported in latest papers
-* a large set of pre-trained models
-* carefully designed APIs and easy to understand implementations
-* community support