New port: math/py-Pyomo: Python Optimization Modeling Objects

This commit is contained in:
Yuri Victorovich 2018-03-31 08:23:34 +00:00
parent 43d678c65a
commit 5afffa40f1
Notes: 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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@ -625,6 +625,7 @@
SUBDIR += pure-rational
SUBDIR += py-Diofant
SUBDIR += py-PyWavelets
SUBDIR += py-Pyomo
SUBDIR += py-altgraph
SUBDIR += py-apgl
SUBDIR += py-basemap

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math/py-Pyomo/Makefile Normal file
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# $FreeBSD$
PORTNAME= Pyomo
DISTVERSION= 5.4.3
CATEGORIES= math python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Python Optimization Modeling Objects
LICENSE= BSD3CLAUSE
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}appdirs>0:devel/py-appdirs@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}ply>0:devel/py-ply@${FLAVOR} \
${PYTHON_PKGNAMEPREFIX}PyUtilib>=5.6.2:devel/py-PyUtilib@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}six>=1.4:devel/py-six@${FLAVOR}
USES= python
USE_PYTHON= distutils concurrent autoplist
NO_ARCH= yes
.include <bsd.port.mk>

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math/py-Pyomo/distinfo Normal file
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TIMESTAMP = 1522480103
SHA256 (Pyomo-5.4.3.tar.gz) = 722887e1b4d8963eb648aaa61a70f5060cc3db63f48f5d2ffdc822ed90bb0f22
SIZE (Pyomo-5.4.3.tar.gz) = 1377037

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math/py-Pyomo/pkg-descr Normal file
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Pyomo is a Python-based open-source software package that supports a diverse
set of optimization capabilities for formulating and analyzing optimization
models.
Modeling optimization applications is a core capability of Pyomo. Pyomo can be
used to define symbolic problems, create concrete problem instances, and solve
these instances with standard solvers. Thus, Pyomo provides a capability that is
commonly associated with algebraic modeling languages such as AMPL, AIMMS, and
GAMS, but Pyomo's modeling objects are embedded within a full-featured
high-level programming language with a rich set of supporting libraries. Pyomo
supports a wide range of problem types, including:
* Linear programming
* Quadratic programming
* Nonlinear programming
* Mixed-integer linear programming
* Mixed-integer quadratic programming
* Mixed-integer nonlinear programming
* Mixed-integer stochastic programming
* Generalized disjunctive programming
* Differential algebraic equations
* Bilevel programming
* Mathematical programming with equilibrium constraints
WWW: https://github.com/Pyomo/pyomo