head	1.5;
access;
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	pkgsrc-2026Q2:1.4.0.4
	pkgsrc-2026Q2-base:1.4
	pkgsrc-2026Q1:1.4.0.2
	pkgsrc-2026Q1-base:1.4
	pkgsrc-2025Q4:1.3.0.2
	pkgsrc-2025Q4-base:1.3
	pkgsrc-2025Q3:1.2.0.2
	pkgsrc-2025Q3-base:1.2
	pkgsrc-2025Q2:1.1.0.2
	pkgsrc-2025Q2-base:1.1;
locks; strict;
comment	@# @;


1.5
date	2026.06.28.15.41.29;	author wiz;	state Exp;
branches;
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1.4
date	2026.02.25.15.10.52;	author adam;	state Exp;
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1.3
date	2025.10.09.07.57.47;	author wiz;	state Exp;
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1.2
date	2025.07.03.19.18.08;	author wiz;	state Exp;
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1.1
date	2025.05.14.13.30.02;	author adam;	state Exp;
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desc
@@


1.5
log
@*: limit Python versions due to py-numpy dropping Python 3.11 support
@
text
@# $NetBSD: Makefile,v 1.4 2026/02/25 15:10:52 adam Exp $

DISTNAME=	lap-0.5.13
PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
CATEGORIES=	math python
MASTER_SITES=	${MASTER_SITE_PYPI:=l/lap/}

MAINTAINER=	pkgsrc-users@@NetBSD.org
HOMEPAGE=	https://github.com/gatagat/lap
COMMENT=	Linear Assignment Problem solver (LAPJV/LAPMOD)
LICENSE=	2-clause-bsd

USE_LANGUAGES=	c c++

TOOL_DEPENDS+=	${PYPKGPREFIX}-setuptools>=78:../../devel/py-setuptools

PYTHON_VERSIONS_INCOMPATIBLE=	310 311

pre-configure:
	${LN} -sf ${PREFIX}/bin/cython-${PYVERSSUFFIX} ${BUILDLINK_DIR}/bin/cython

.include "../../devel/py-cython/buildlink3.mk"
.include "../../lang/python/wheel.mk"
.include "../../math/py-numpy/buildlink3.mk"
.include "../../mk/bsd.pkg.mk"
@


1.4
log
@py-lap: updated to 0.5.13

0.5.13
Add badge for full test workflow in README.md
@
text
@d1 1
a1 1
# $NetBSD: Makefile,v 1.3 2025/10/09 07:57:47 wiz Exp $
d17 1
a17 1
PYTHON_VERSIONS_INCOMPATIBLE=	310
@


1.3
log
@*: remove reference to (removed) Python 3.9
@
text
@d1 1
a1 1
# $NetBSD: Makefile,v 1.2 2025/07/03 19:18:08 wiz Exp $
d3 1
a3 1
DISTNAME=	lap-0.5.12
d15 1
a15 1
TOOL_DEPENDS+=	${PYPKGPREFIX}-setuptools-[0-9]*:../../devel/py-setuptools
@


1.2
log
@*: py-numpy needs Python >= 3.11 now
@
text
@d1 1
a1 1
# $NetBSD: Makefile,v 1.1 2025/05/14 13:30:02 adam Exp $
d17 1
a17 1
PYTHON_VERSIONS_INCOMPATIBLE=	39 310
@


1.1
log
@py-lap: added version 0.5.12

lap is a linear assignment problem solver using Jonker-Volgenant algorithm for
dense LAPJV or sparse LAPMOD matrices. Both algorithms are implemented from
scratch based solely on the papers and the public domain Pascal implementation
provided by A. Volgenant. The LAPMOD implementation seems to be faster than the
LAPJV implementation for matrices with a side of more than ~5000 and with
less than 50% finite coefficients.
@
text
@d1 1
a1 1
# $NetBSD$
d17 2
@