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# optsol_optimizeProbClass.R
# FBA and friends with R.
#
# Copyright (C) 2010-2014 Gabriel Gelius-Dietrich, Dpt. for Bioinformatics,
# Institute for Informatics, Heinrich-Heine-University, Duesseldorf, Germany.
# All right reserved.
# Email: geliudie@uni-duesseldorf.de
#
# This file is part of sybil.
#
# Sybil is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Sybil is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with sybil. If not, see <http://www.gnu.org/licenses/>.
# optsol_optimizeProbClass
#------------------------------------------------------------------------------#
# definition of the class optsol_optimizeProb #
#------------------------------------------------------------------------------#
setClass("optsol_optimizeProb",
representation(
preProc = "ppProc", # preprocessing lp result
postProc = "ppProc" # postprocessing lp result
),
contains = "optsol"
)
#------------------------------------------------------------------------------#
# user constructor #
#------------------------------------------------------------------------------#
makeOptsolMO <- function(mod, sol) {
# mod is of class modelorg
# sol is the return value of optimizer()
stopifnot(is(mod, "modelorg"), is(sol, "list"))
opt <- new("optsol_optimizeProb",
mod_id = mod_id(mod),
mod_key = mod_key(mod),
solver = sol[["solver"]],
method = sol[["method"]],
algorithm = sol[["algorithm"]],
num_of_prob = as.integer(length(sol[["obj"]])),
lp_num_cols = as.integer(sol[["lp_num_cols"]]),
lp_num_rows = as.integer(sol[["lp_num_rows"]]),
lp_obj = as.numeric(sol[["obj"]]),
lp_ok = as.integer(sol[["ok"]]),
lp_stat = as.integer(sol[["stat"]]),
lp_dir = sol[["lp_dir"]],
obj_coef = obj_coef(mod),
obj_func = printObjFunc(mod),
fldind = as.integer(sol[["fldind"]]),
fluxdist = sol[["fluxdist"]],
alg_par = sol[["alg_par"]])
if (!is.null(sol$prAna)) {
preProc(opt) <- sol[["prAna"]]
}
if (!is.null(sol$poAna)) {
postProc(opt) <- sol[["poAna"]]
}
return(opt)
}
#------------------------------------------------------------------------------#
# setters and getters #
#------------------------------------------------------------------------------#
# preProc
setMethod("preProc", signature(object = "optsol_optimizeProb"),
function(object) {
return(object@preProc)
}
)
setReplaceMethod("preProc", signature(object = "optsol_optimizeProb"),
function(object, value) {
object@preProc <- value
return(object)
}
)
# postProc
setMethod("postProc", signature(object = "optsol_optimizeProb"),
function(object) {
return(object@postProc)
}
)
setReplaceMethod("postProc", signature(object = "optsol_optimizeProb"),
function(object, value) {
object@postProc <- value
return(object)
}
)
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