Nothing
#' Plot the graph of pool connections
#'
#' @param x The modelrun the connection graph of which is plotted
#' @autocomment
setMethod(
f= "plotPoolGraph",
signature(x="SymbolicModel_by_PoolNames"),
definition=function
(x){
internalConnections<-lapply(
x@internal_fluxes,
function(flr){
tuple(
as.character(flr@sourceName)
,as.character(flr@destinationName)
)
}
)
inBoundConnections<-lapply(
x@in_fluxes,
function(fl){ as.character(fl@destinationName) }
)
outBoundConnections<- lapply(
x@out_fluxes,
function(fl){ as.character(fl@sourceName) }
)
plotPoolGraphFromTupleLists(internalConnections,inBoundConnections,outBoundConnections)
}
)
#' determine the minimum set of statevariables
#'
#' @param object The symbolic model description
#' @autocomment
state_variable_names <- function (object){
# we collect all sources and destinations
# of all fluxes
# fixme mm 12/19/2019:
# we should generalize Fluxes and Fluxrates
# by making them subclasses
# to classes inbound_connection,outbound_connection,internal_connection and
# implement the source and destination slots there so that we do not have to
# discriminate between a rate and a flux as long as we are only interested
# in where it is going or coming from
# the same is true for the drawing of the connection graph
unique(
c(
unlist(
lapply(
object@internal_fluxes
,function(flr){
c(
as.character(flr@sourceName)
,as.character(flr@destinationName)
)
}
)
)
,unlist(
lapply(
object@in_fluxes,
function(fl){as.character(fl@destinationName) }
)
)
,unlist(
lapply(
object@out_fluxes,
function(fl){ as.character(fl@sourceName) }
)
)
)
)
}
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