Nothing
new_xml_node <- function(name, data) {
node <- xml_new_root(name)
xml_add_child(node, xml_cdata(data))
xml_child(xml_parent(node))
}
xml_copy <- function(x) {
read_xml(as.character(x))
}
##
## R CMD check doesn't like this version.
##
## xml_copy_2 <- function(x) {
## write_con <- textConnection("deep_copy", open = "w", local = TRUE)
## xml_serialize(x, write_con)
## close(write_con)
## read_con <- textConnection(deep_copy)
## x_copy <- xml_unserialize(read_con)
## close(read_con)
## x_copy
## }
check_control_arguments <- function(control) {
stopifnot(is.numeric(control$id))
if ( !all( c("user", "email") %in% names(control) ) ) {
missing_args <- shQuote(setdiff(c("user", "email"), names(control)))
stop("the control argument", if ( length(missing_args) > 1 ) "s " else " ",
paste(missing_args, collapse = ", "),
if ( length(missing_args) > 1 ) " are " else " is ",
"missing", call. = FALSE)
}
}
has_valid_objective <- function(x) inherits(objective(x), "Q_objective")
has_valid_constraints <- function(x) inherits(constraints(x), c("Q_constraint", "NO_constraint"))
which_model_type <- function(x) {
if ( !has_valid_objective(x) | !has_valid_constraints(x) ) {
stop("'ROI_to_gams' only supports linear and quadratic objectives and ",
"linear and quadratic constraints!", call. = FALSE)
}
if ( is_lp(x) ) {
model_type <- "lp"
} else if ( is.L_constraint(constraints(x)) ) {
model_type <- "qp"
} else {
model_type <- "qcqp"
}
model_type
}
is_lp <- function(x) {
( inherits(objective(x), "L_objective")
& inherits(constraints(x), c("L_constraint", "NO_constraint")) )
}
is.slam_zero_matrix <- function(x) {
if ( is.null(x) ) return(TRUE)
inherits(x, "simple_triplet_matrix") & isTRUE(length(x$v) == 0L)
}
clean <- function(x) {
tolower(gsub("\\W", "", x))
}
strip <- function(x) gsub("(^\\s+|\\s+$)", "", x)
prefix_spaces <- function(x, xnchar) {
paste(c(rep.int(" ", xnchar - nchar(x)), x), collapse = "")
}
subfix_spaces <- function(x, xnchar) {
paste(c(x, rep.int(" ", xnchar - nchar(x))), collapse = "")
}
## get_lb
## ======
##
## get lower bound constraints
get_lb <- function(x) {
lb <- numeric( length(objective(x)) )
lb[ bounds(x)$lower$ind ] <- bounds(x)$lower$val
return(lb)
}
## get_ub
## ======
##
## get upper bound constraints
get_ub <- function(x) {
ub <- rep.int(Inf, length(objective(x)))
ub[ bounds(x)$upper$ind ] <- bounds(x)$upper$val
return(ub)
}
has.eq <- function(x) {
any(constraints(x)$dir == "==")
}
has.leq <- function(x) {
any(constraints(x)$dir %in% c("<=", "<"))
}
has.geq <- function(x) {
any(constraints(x)$dir %in% c(">=", ">"))
}
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