git: 74a3ce7db549 - main - math/py-iminuit: Update 2.12.0 -> 2.15.2

The branch main has been updated by yuri:

URL: https://cgit.FreeBSD.org/ports/commit/?id=74a3ce7db549e9af545bb125f04dfd489972f85f

commit 74a3ce7db549e9af545bb125f04dfd489972f85f
Author:     Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2022-08-07 05:45:58 +0000
Commit:     Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2022-08-07 05:46:36 +0000

    math/py-iminuit: Update 2.12.0 -> 2.15.2
---
 math/py-iminuit/Makefile  | 6 ++++--
 math/py-iminuit/distinfo  | 6 +++---
 math/py-iminuit/pkg-descr | 2 +-
 3 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/math/py-iminuit/Makefile b/math/py-iminuit/Makefile
index 16353cbec67c..30fa8e07e442 100644
--- a/math/py-iminuit/Makefile
+++ b/math/py-iminuit/Makefile
@@ -1,5 +1,5 @@
 PORTNAME=	iminuit
-DISTVERSION=	2.12.0
+DISTVERSION=	2.15.2
 CATEGORIES=	math python
 MASTER_SITES=	CHEESESHOP
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
@@ -14,6 +14,8 @@ BUILD_DEPENDS=	cmake:devel/cmake
 RUN_DEPENDS=	${PYNUMPY}
 
 USES=		compiler:c++14-lang python:3.6+
-USE_PYTHON=	distutils autoplist
+USE_PYTHON=	distutils autoplist pytest # 2 tests are known to fail, see https://github.com/scikit-hep/iminuit/issues/779
+
+TEST_ENV=      ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
 
 .include <bsd.port.mk>
diff --git a/math/py-iminuit/distinfo b/math/py-iminuit/distinfo
index 5c4c67968301..419ede957f2c 100644
--- a/math/py-iminuit/distinfo
+++ b/math/py-iminuit/distinfo
@@ -1,3 +1,3 @@
-TIMESTAMP = 1656211070
-SHA256 (iminuit-2.12.0.tar.gz) = cd0e3cb751302c066984eab30612c5d2419a54317febe51b50be1fa21afc51a9
-SIZE (iminuit-2.12.0.tar.gz) = 420687
+TIMESTAMP = 1659850085
+SHA256 (iminuit-2.15.2.tar.gz) = 60ac7d2fe9405c9206675229273f401611d3f5dfa22942541646c4625b59f1ea
+SIZE (iminuit-2.15.2.tar.gz) = 429553
diff --git a/math/py-iminuit/pkg-descr b/math/py-iminuit/pkg-descr
index 45edce711d9d..dae39a4ae443 100644
--- a/math/py-iminuit/pkg-descr
+++ b/math/py-iminuit/pkg-descr
@@ -5,4 +5,4 @@ It can be used as a general robust function minimisation method, but is most
 commonly used for likelihood fits of models to data, and to get model parameter
 error estimates from likelihood profile analysis.
 
-WWW: https://github.com/scikit-hep/iminuit
+WWW: https://iminuit.readthedocs.io/en/stable/