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A layout attaches names to a vector, matrix, array or collection.
Name indices like y[["pred"]] are resolved to integer
indices at translation time, so they cost nothing at runtime. A typo is
a translation error with a suggestion.
Layouts are declared in types_f, like custom types:
| Declaration | Type | Borrowed type |
|---|---|---|
new_layout(L, double, names = ) |
named_vec(L) |
named_borrow_vec(L) |
new_mat_layout(L, double, rownames = , colnames = ) |
named_mat(L) |
named_borrow_mat(L) |
new_array_layout(L, double, dimnames = list(...)) |
named_array(L) |
named_borrow_array(L) |
new_collection_layout(L, Struct, names = ) |
named_collection(L) |
Each names argument is an R expression, NULL (no names)
or an existing new_layout().
types <- function() {
new_layout(State, double, names = c("prey", "pred"))
}
f <- function(y) {
argtypes(y |> type(named_vec(State)))
y[["pred"]] <- y[["prey"]] * 2
return(y)
}
fcpp <- ast2ast::translate(f, types_f = types)
fcpp(c(3, 0))
# prey pred
# 3 6
"".vector("State") or a declaration
(res |> type(named_vec(State))) allocates one entry per
name; vector("State", n) allocates n
entries.Names can come from an R expression:
state_names <- c("a", "b", "c")
types <- function() {
new_layout(Abc, double, names = state_names)
}
types <- function() {
new_layout(State, double, names = c("prey", "pred"))
new_mat_layout(Result, double, rownames = c("t0", "t1"), colnames = State)
new_array_layout(Cube, double, dimnames = list(c("a", "b"), NULL, c("t1", "t2")))
new_type(Point, slots(x |> type(double), y |> type(double)))
new_collection_layout(Pts, Point, names = c("p1", "p2"))
}
colnames = State reuses the names of an existing
layout.m[["t1", "pred"]], also mixed with numbers
(m[["t1", 2L]]).pts[["p1"]]$x for collections.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.