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New port: math/py-Pyomo: Python Optimization Modeling Objects
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svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=466033
4 changed files with 51 additions and 0 deletions
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SUBDIR += pure-rational
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SUBDIR += py-Diofant
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SUBDIR += py-PyWavelets
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SUBDIR += py-Pyomo
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SUBDIR += py-altgraph
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SUBDIR += py-apgl
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SUBDIR += py-basemap
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math/py-Pyomo/Makefile
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math/py-Pyomo/Makefile
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# $FreeBSD$
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PORTNAME= Pyomo
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DISTVERSION= 5.4.3
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CATEGORIES= math python
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MASTER_SITES= CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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MAINTAINER= yuri@FreeBSD.org
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COMMENT= Python Optimization Modeling Objects
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LICENSE= BSD3CLAUSE
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}appdirs>0:devel/py-appdirs@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}ply>0:devel/py-ply@${FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}PyUtilib>=5.6.2:devel/py-PyUtilib@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}six>=1.4:devel/py-six@${FLAVOR}
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USES= python
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USE_PYTHON= distutils concurrent autoplist
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NO_ARCH= yes
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.include <bsd.port.mk>
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3
math/py-Pyomo/distinfo
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math/py-Pyomo/distinfo
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TIMESTAMP = 1522480103
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SHA256 (Pyomo-5.4.3.tar.gz) = 722887e1b4d8963eb648aaa61a70f5060cc3db63f48f5d2ffdc822ed90bb0f22
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SIZE (Pyomo-5.4.3.tar.gz) = 1377037
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math/py-Pyomo/pkg-descr
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math/py-Pyomo/pkg-descr
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Pyomo is a Python-based open-source software package that supports a diverse
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set of optimization capabilities for formulating and analyzing optimization
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models.
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Modeling optimization applications is a core capability of Pyomo. Pyomo can be
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used to define symbolic problems, create concrete problem instances, and solve
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these instances with standard solvers. Thus, Pyomo provides a capability that is
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commonly associated with algebraic modeling languages such as AMPL, AIMMS, and
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GAMS, but Pyomo's modeling objects are embedded within a full-featured
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high-level programming language with a rich set of supporting libraries. Pyomo
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supports a wide range of problem types, including:
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* Linear programming
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* Quadratic programming
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* Nonlinear programming
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* Mixed-integer linear programming
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* Mixed-integer quadratic programming
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* Mixed-integer nonlinear programming
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* Mixed-integer stochastic programming
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* Generalized disjunctive programming
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* Differential algebraic equations
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* Bilevel programming
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* Mathematical programming with equilibrium constraints
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WWW: https://github.com/Pyomo/pyomo
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