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kirill
006fcef4ce
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. OK: sthen@
28 lines
467 B
Makefile
28 lines
467 B
Makefile
COMMENT = linear assignment problem solver (LAPJV/LAPMOD)
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MODPY_DISTV = 0.5.12
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DISTNAME= lap-${MODPY_DISTV}
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PKGNAME= py-${DISTNAME}
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CATEGORIES = math
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# BSD
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PERMIT_PACKAGE = Yes
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WANTLIB += ${COMPILER_LIBCXX} m
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COMPILER = base-clang ports-gcc
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MODULES = lang/python
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MODPY_PI = Yes
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MODPY_PYBUILD = setuptools
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MODPY_TEST_LINK_SO = Yes
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BUILD_DEPENDS= lang/cython
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RUN_DEPENDS = math/py-numpy
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TEST_DEPENDS = devel/py-test-timeout
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.include <bsd.port.mk>
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