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Sun, 14 Aug 2022 05:41:54 GMT (envelope-from git) Date: Sun, 14 Aug 2022 05:41:54 GMT Message-Id: <202208140541.27E5fsPT085207@gitrepo.freebsd.org> To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org, dev-commits-ports-main@FreeBSD.org From: Yuri Victorovich Subject: git: 06ac78be58f2 - main - science/py-dwave-neal: New port: DWave: Simulated annealing sampler for general Ising model graphs List-Id: Commit messages for all branches of the ports repository List-Archive: https://lists.freebsd.org/archives/dev-commits-ports-all List-Help: List-Post: List-Subscribe: List-Unsubscribe: Sender: owner-dev-commits-ports-all@freebsd.org X-BeenThere: dev-commits-ports-all@freebsd.org MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 8bit X-Git-Committer: yuri X-Git-Repository: ports X-Git-Refname: refs/heads/main X-Git-Reftype: branch X-Git-Commit: 06ac78be58f2c94320969226e8187fa32bdf9815 Auto-Submitted: auto-generated ARC-Message-Signature: i=1; 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mx1.freebsd.org; none X-ThisMailContainsUnwantedMimeParts: N The branch main has been updated by yuri: URL: https://cgit.FreeBSD.org/ports/commit/?id=06ac78be58f2c94320969226e8187fa32bdf9815 commit 06ac78be58f2c94320969226e8187fa32bdf9815 Author: Yuri Victorovich AuthorDate: 2022-08-14 05:41:24 +0000 Commit: Yuri Victorovich CommitDate: 2022-08-14 05:41:24 +0000 science/py-dwave-neal: New port: DWave: Simulated annealing sampler for general Ising model graphs --- science/Makefile | 1 + science/py-dwave-neal/Makefile | 28 ++++++++++++++++++++++++++++ science/py-dwave-neal/distinfo | 3 +++ science/py-dwave-neal/files/example.py | 9 +++++++++ science/py-dwave-neal/pkg-descr | 12 ++++++++++++ 5 files changed, 53 insertions(+) diff --git a/science/Makefile b/science/Makefile index b9924879e109..cd0d8cc5ec07 100644 --- a/science/Makefile +++ b/science/Makefile @@ -284,6 +284,7 @@ SUBDIR += py-dimod SUBDIR += py-dipy SUBDIR += py-dlib + SUBDIR += py-dwave-neal SUBDIR += py-dwave-samplers SUBDIR += py-eccodes SUBDIR += py-esda diff --git a/science/py-dwave-neal/Makefile b/science/py-dwave-neal/Makefile new file mode 100644 index 000000000000..5bb7dad7ae25 --- /dev/null +++ b/science/py-dwave-neal/Makefile @@ -0,0 +1,28 @@ +PORTNAME= dwave-neal +DISTVERSION= 0.6.0.dev0 +CATEGORIES= science graphics # quantum-computing +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= DWave: Simulated annealing sampler for general Ising model graphs + +LICENSE= APACHE20 +LICENSE_FILE= ${WRKSRC}/LICENSE + +PY_DEPENDS= ${PYTHON_PKGNAMEPREFIX}dimod>0:science/py-dimod@${PY_FLAVOR} \ + ${PYNUMPY} +BUILD_DEPENDS= ${PY_DEPENDS} +RUN_DEPENDS= ${PY_DEPENDS} + +USES= python:3.7+ +USE_PYTHON= distutils autoplist unittest + +TEST_ENV= ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR} + +NO_ARCH= yes + +do-test: + @${SETENV} ${TEST_ENV} ${PYTHON_CMD} ${FILESDIR}/example.py + +.include diff --git a/science/py-dwave-neal/distinfo b/science/py-dwave-neal/distinfo new file mode 100644 index 000000000000..3affefba0cad --- /dev/null +++ b/science/py-dwave-neal/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1660454526 +SHA256 (dwave-neal-0.6.0.dev0.tar.gz) = 209e872c325cbdd79f05364624ff562abdf7e3cd0c52ac8b7657fa4ae165b742 +SIZE (dwave-neal-0.6.0.dev0.tar.gz) = 6500 diff --git a/science/py-dwave-neal/files/example.py b/science/py-dwave-neal/files/example.py new file mode 100644 index 000000000000..be734d9f7229 --- /dev/null +++ b/science/py-dwave-neal/files/example.py @@ -0,0 +1,9 @@ +import neal + +sampler = neal.SimulatedAnnealingSampler() + +h = {0: -1, 1: -1} +J = {(0, 1): -1} +sampleset = sampler.sample_ising(h, J) + +print(sampleset) diff --git a/science/py-dwave-neal/pkg-descr b/science/py-dwave-neal/pkg-descr new file mode 100644 index 000000000000..4232cdcfec2a --- /dev/null +++ b/science/py-dwave-neal/pkg-descr @@ -0,0 +1,12 @@ +An implementation of a simulated annealing sampler. + +A simulated annealing sampler can be used for approximate Boltzmann sampling or +heuristic optimization. This implementation approaches the equilibrium +distribution by performing updates at a sequence of increasing beta values, +beta_schedule, terminating at the target beta. Each spin is updated once in a +fixed order per point in the beta_schedule according to a Metropolis- Hastings +update. When beta is large the target distribution concentrates, at equilibrium, +over ground states of the model. Samples are guaranteed to match the equilibrium +for long 'smooth' beta schedules. + +WWW: https://github.com/dwavesystems/dwave-neal