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science/py-dwave-optimization: New port: DWave: Nonlinear models for industrial optimization problems
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SUBDIR += py-dwave-neal
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SUBDIR += py-dwave-networkx
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SUBDIR += py-dwave-ocean-sdk
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SUBDIR += py-dwave-optimization
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SUBDIR += py-dwave-preprocessing
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SUBDIR += py-dwave-samplers
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SUBDIR += py-dwave-system
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science/py-dwave-optimization/Makefile
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science/py-dwave-optimization/Makefile
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PORTNAME= dwave-optimization
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DISTVERSION= 0.1.0
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CATEGORIES= science python # quantum-computing
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MASTER_SITES= PYPI
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= DWave: Nonlinear models for industrial optimization problems
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WWW= https://github.com/dwavesystems/dwave-optimization
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LICENSE= APACHE20
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LICENSE_FILE= ${WRKSRC}/LICENSE
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BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}cython3>0:lang/cython3@${PY_FLAVOR} \
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${PYNUMPY} \
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${PYTHON_PKGNAMEPREFIX}setuptools-dso>=2.10:devel/py-setuptools-dso@${PY_FLAVOR}
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RUN_DEPENDS= ${PYNUMPY} \
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${PYTHON_PKGNAMEPREFIX}reno>=4.1.0:textproc/py-reno@${PY_FLAVOR}
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USES= python
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USE_PYTHON= distutils cython autoplist
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POST_PLIST= fix-plist
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post-install:
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# strip binaries
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@${STRIP_CMD} \
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${STAGEDIR}${PYTHON_SITELIBDIR}/dwave/optimization/libdwave-optimization.so \
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${STAGEDIR}${PYTHON_SITELIBDIR}/dwave/optimization/model${PYTHON_EXT_SUFFIX}.so \
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${STAGEDIR}${PYTHON_SITELIBDIR}/dwave/optimization/symbols${PYTHON_EXT_SUFFIX}.so
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# remove conflicting __init__.py, see https://github.com/dwavesystems/dwave-system/issues/462
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@${RM} -r \
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${STAGEDIR}${PYTHON_SITELIBDIR}/dwave/__init__.py \
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${STAGEDIR}${PYTHON_SITELIBDIR}/dwave/__pycache__
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fix-plist:
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@${REINPLACE_CMD} -e " \
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s|.*dwave/__init__\.py||; \
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s|.*dwave/__pycache__/.*|| \
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" ${TMPPLIST}
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.include <bsd.port.mk>
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science/py-dwave-optimization/distinfo
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science/py-dwave-optimization/distinfo
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TIMESTAMP = 1721017559
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SHA256 (dwave-optimization-0.1.0.tar.gz) = 585b69026d26e9f99b9c8552a68dae794960cd94582ccdf973d2eb30a6303b9e
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SIZE (dwave-optimization-0.1.0.tar.gz) = 725660
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science/py-dwave-optimization/pkg-descr
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science/py-dwave-optimization/pkg-descr
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dwave-optimization enables the formulation of nonlinear models for industrial
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optimization problems. The package includes:
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* a class for nonlinear models used by the Leap service's quantum-classical
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hybrid nonlinear-program solver
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* model generators for common optimization problems
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science/py-dwave-optimization/pkg-plist
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science/py-dwave-optimization/pkg-plist
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%%PYTHON_SITELIBDIR%%/dwave/optimization/libdwave-optimization.so
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