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csl2cpp_dependence.r
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csl2cpp_dependence.r
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#### determine uninitialised variables ####
# thoughts:
# see ACSL Reference Manual Version 11 p3-1, p3-3 (mistake on p3-2)
# order of execution:
# set time?, INITIAL, set state, control variables, DERIVATIVE (sorted), DISCRETE, DYNAMIC, TERMINAL
# constant statement can be anywhere in the code "they are not executable" (p3-2)
# integ statement can be anywhere in the code, initial conditions applied after INITIAL (p3-1, 3-3)
# derivt statement can be anywhere in the code
# DYNAMIC block statements are actually after DERIVATIVE and DISCRETE
# a handful of variables are "assumed", i.e. used without being set first
# ACSLX initialises all variables to weird values but we want to avoid this
# some might also be set in discrete, but it's difficult to analyse whether this will occur
# need to use tokens$set_line to see if it's a problem
# also after every sort operation, the variable dependence might change!
# scratch notes
# > unique(csl$line_type[csl$set>""|csl$used>""])
# [1] B"constant" "assign" A"parameter" "if" "ifthen" "procedural" "do"
# [8] "arrayassign" "elseifthen" "schedule" "algorithm" "nsteps" "maxterval" "integ"
# [15] "ifgoto"
csl_dependence <- function(csl, tokens, silent=TRUE){
#
csl$assumed <- ""
# extract model state and rate variables
integ <- csl$integ[csl$line_type %in% c("integ", "intvc")]
state <- str_match(integ, "^[:alpha:]+[[:alnum:]_]*")[,1]
rate <- str_trim(str_replace(integ, "^[:alpha:]+[[:alnum:]_]*", ""))
rate <- str_replace_all(rate, "= ", "")
derivt <- csl$integ[csl$line_type %in% c("derivt")]
slope <- str_match(derivt, "^[:alpha:]+[[:alnum:]_]*")[,1]
slopeof <- str_trim(str_replace(derivt, "^[:alpha:]+[[:alnum:]_]*", ""))
slopeof <- str_replace_all(slopeof, "= ", "")
# create running list
token_set_status <- setNames(rep("uninit", nrow(tokens)), tokens$name) # how is a var first set?
token_set_line <- setNames(rep(NA, nrow(tokens)), tokens$name) # when does a var first become available?
# declarations of value (e.g. parameter, constant)
# "algorithm", "nsteps", "maxterval", "cinterval", "minterval" currently also treated like parameter
rows <- which(csl$line_type %in% c("parameter", "constant",
"algorithm", "nsteps", "maxterval", "cinterval", "minterval"))
set <- setdiff(unique(unlist(str_split(csl$set[rows], ",", simplify=FALSE))), "")
token_set_status[set] <- "set"
token_set_line[set] <- 1
# add fake variable to avoid an empty set list on procedurals
if ("procedural" %in% tokens$name){
token_set_status["procedural"] <- "set"
token_set_line["procedural"] <- 1
}
# work through remaining code (sections have already been reorganised)
active <- (csl$set>"" | csl$used>"") &
!(csl$line_type %in% c("parameter", "constant",
"algorithm", "nsteps", "maxterval", "cinterval", "minterval",
"procedural", "integ", "intvc", "derivt"))
rows <- which(active)
set_in_derivative <- NA
constant_in_derivative <- NA
did_continue <- FALSE
for (i in rows){
this_set <- setdiff(comma_split(csl$set[i]), "")
this_used <- setdiff(comma_split(csl$used[i]), "")
stopifnot(all(this_set %in% names(token_set_status)))
stopifnot(all(this_used %in% names(token_set_status)))
# set t at beginning of initial section
if (is.na(token_set_line["t"]) && csl$section[i] %in% c("initial")){
token_set_status["t"] <- "set"
token_set_line["t"] <- i
}
# set state variables and numerical derivatives at end of initial section
if (any(is.na(token_set_line[c(state, slope)])) && !(csl$section[i] %in% c("header", "initial"))){
token_set_status[c(state, slope)] <- "set"
token_set_line[c(state, slope)] <- i
}
# set available variables at start of derivative
if (is.na(constant_in_derivative) && csl$section[i] %in% c("derivative")){
set_in_derivative <- c("procedural")
constant_in_derivative <- c("procedural")
}
# handle continuations
if (did_continue){ # accumulate variable lists
set <- c(set, this_set)
used <- c(used, this_used)
} else { # save variable lists
set <- this_set
used <- this_used
line_type <- csl$line_type[i]
}
will_continue <- csl$cont[i] > ""
if (will_continue){ # go to next line
did_continue <- TRUE
} else {
# analyse line
if (any(set %in% c("t"))){
stop(paste(csl$file_name[i], csl$line_number[i], ": assignment to t in", csl$section[i], "\n"))
}
if (any(set %in% c(state)) && !silent){
bad <- set %in% c(state)
cat(paste(csl$file_name[i], csl$line_number[i], ": assignment to state variable in", csl$section[i], ":", set[bad], "\n"))
}
if (any(set %in% c(slope)) && !silent){
bad <- set %in% c(slope)
cat(paste(csl$file_name[i], csl$line_number[i], ": assignment to slope variable in", csl$section[i], ":", set[bad], "\n"))
}
if (any(set %in% c(rate)) && csl$section[i] != "derivative" && !silent){
bad <- set %in% c(rate)
cat(paste(csl$file_name[i], csl$line_number[i], ": assignment to rate variable in", csl$section[i], ":", set[bad], "\n"))
}
if (any(used %in% c("t")) && !(csl$section[i] %in% c("dynamic", "discrete", "derivative"))){
cat(paste(csl$file_name[i], csl$line_number[i], ": use of t in", csl$section[i], "\n"))
}
if (any(used %in% c(state)) && !(csl$section[i] %in% c("dynamic", "discrete", "derivative")) && !silent){
bad <- used %in% c(state)
cat(paste(csl$file_name[i], csl$line_number[i], ": use of state variable in", csl$section[i], ":", used[bad], "\n"))
}
if (csl$section[i] == "derivative"){ # check for illegally updated variables
if (any(used>"")){
bad <- !(used %in% set_in_derivative) # used without being set first (ok but can't be changed)
constant_in_derivative <- c(constant_in_derivative, used[bad])
}
if (any(set>"")){
bad <- set %in% constant_in_derivative
if (any(bad) && !silent){
cat(paste(csl$file_name[i], csl$line_number[i], ": illegally updated variables in", csl$section[i], ":", set[bad], "\n"))
}
if (any(!bad)){
set_in_derivative <- c(set_in_derivative, set[!bad])
}
}
}
if (any(set>"") && !any(used>"")){ # set only (e.g. initialisation with constant)
if (csl$section[i] != "discrete"){ # assume discrete sections do not set anything
bad <- token_set_status[set] == "uninit"
token_set_status[set[bad]] <- "set"
token_set_line[set[bad]] <- i
}
} else if (!any(set>"") && any(used>"")){ # used only (e.g. ifgoto, schedule)
bad <- token_set_status[used] == "uninit"
if (any(bad) && !silent){
cat(paste(csl$file_name[i], csl$line_number[i], ": use of uninitialised variable in", csl$section[i], ":", used[bad], "\n"))
}
token_set_status[used[bad]] <- "assumed"
token_set_line[used[bad]] <- i
csl$assumed[i] <- paste_sort(used[bad])
} else if (any(set>"") && any(used>"")){ # both set and used (e.g. assignment)
bad <- token_set_status[used] == "uninit"
if (any(bad) && !silent){
cat(paste(csl$file_name[i], csl$line_number[i], ": use of uninitialised variable in", csl$section[i], ":", used[bad], "\n"))
}
token_set_status[used[bad]] <- "assumed"
token_set_line[used[bad]] <- i
csl$assumed[i] <- paste_sort(used[bad])
if (csl$section[i] != "discrete"){ # assume discrete sections do not set anything
bad <- token_set_status[set] == "uninit"
if (any(token_set_status[used] != "set")){ # at least one used is assumed
token_set_status[set[bad]] <- "from_assumed"
token_set_line[set[bad]] <- i
} else { # all set
token_set_status[set[bad]] <- "set"
token_set_line[set[bad]] <- i
}
}
}
did_continue <- FALSE
}
}
# save results in df
tokens <- tokens %>%
mutate(set_line=unname(token_set_line),
set_status=unname(token_set_status))
return(tokens)
} # end function