r-cvxr: add new package with dependencies (#35275)
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var/spack/repos/builtin/packages/r-cvxr/package.py
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var/spack/repos/builtin/packages/r-cvxr/package.py
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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class RCvxr(RPackage):
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"""Disciplined Convex Optimization.
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An object-oriented modeling language for disciplined convex programming
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(DCP) as described in Fu, Narasimhan, and Boyd (2020,
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<doi:10.18637/jss.v094.i14>). It allows the user to formulate convex
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optimization problems in a natural way following mathematical convention
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and DCP rules. The system analyzes the problem, verifies its convexity,
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converts it into a canonical form, and hands it off to an appropriate
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solver to obtain the solution. Interfaces to solvers on CRAN and elsewhere
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are provided, both commercial and open source."""
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cran = "CVXR"
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version("1.0-11", sha256="e92a9638f35f4909e2a29c3b7106081e3dae7ff88b14bb6466b87fbdc80b972a")
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depends_on("r@3.4.0:", type=("build", "run"))
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depends_on("r-r6", type=("build", "run"))
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depends_on("r-matrix", type=("build", "run"))
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depends_on("r-rcpp", type=("build", "run"))
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depends_on("r-bit64", type=("build", "run"))
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depends_on("r-gmp", type=("build", "run"))
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depends_on("r-rmpfr", type=("build", "run"))
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depends_on("r-ecosolver@0.5.4:", type=("build", "run"))
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depends_on("r-scs@3.0:", type=("build", "run"))
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depends_on("r-osqp", type=("build", "run"))
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depends_on("r-rcppeigen", type=("build", "run"))
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var/spack/repos/builtin/packages/r-ecosolver/package.py
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var/spack/repos/builtin/packages/r-ecosolver/package.py
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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class REcosolver(RPackage):
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"""Embedded Conic Solver in R.
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R interface to the Embedded COnic Solver (ECOS), an efficient and robust C
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library for convex problems. Conic and equality constraints can be
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specified in addition to integer and boolean variable constraints for
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mixed-integer problems. This R interface is inspired by the python
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interface and has similar calling conventions."""
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cran = "ECOSolveR"
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version("0.5.4", sha256="5d7489e8176c1df3f3f1290732243429280efca4f837916e6b6faa6dc8a8e324")
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depends_on("gmake", type="build")
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var/spack/repos/builtin/packages/r-osqp/package.py
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var/spack/repos/builtin/packages/r-osqp/package.py
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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class ROsqp(RPackage):
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"""Quadratic Programming Solver using the 'OSQP' Library.
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Provides bindings to the 'OSQP' solver. The 'OSQP' solver is a numerical
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optimization package or solving convex quadratic programs written in 'C'
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and based on the alternating direction method of multipliers. See
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<arXiv:1711.08013> for details."""
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cran = "osqp"
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version("0.6.0.7", sha256="ee6584d02341e3f1d8fab3b2cb93defd6c48d561297d82a6bedb3e7541868203")
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depends_on("r-rcpp@0.12.14:", type=("build", "run"))
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depends_on("r-matrix", type=("build", "run"))
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depends_on("r-r6", type=("build", "run"))
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depends_on("cmake", type="build")
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var/spack/repos/builtin/packages/r-scs/package.py
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var/spack/repos/builtin/packages/r-scs/package.py
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# Copyright 2013-2022 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class RScs(RPackage):
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"""Splitting Conic Solver.
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Solves convex cone programs via operator splitting. Can solve: linear
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programs ('LPs'), second-order cone programs ('SOCPs'), semidefinite
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programs ('SDPs'), exponential cone programs ('ECPs'), and power cone
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programs ('PCPs'), or problems with any combination of those cones. 'SCS'
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uses 'AMD' (a set of routines for permuting sparse matrices prior to
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factorization) and 'LDL' (a sparse 'LDL' factorization and solve package)
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from 'SuiteSparse'
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(<https://people.engr.tamu.edu/davis/suitesparse.html>)."""
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cran = "scs"
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version("3.0-1", sha256="d6881eeec7282f8bfbf60847327786e7f90299e4b8c0b084d8bd11fec7705913")
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depends_on("r@3.5.0:", type=("build", "run"))
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depends_on("gmake", type="build")
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