R Under development (unstable) (2024-04-23 r86473 ucrt) -- "Unsuffered Consequences"
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> library(epigrowthfit)
> options(warn = 2L, error = if (interactive()) recover)
> 
> 
> ## egf_model ###########################################################
> 
> x <- egf_model()
> nms <- c("curve", "excess", "family", "day_of_week")
> 
> stopifnot(exprs = {
+ 	is.list(x)
+ 	identical(oldClass(x), "egf_model")
+ 	length(x) == 4L
+ 	identical(names(x), nms)
+ 
+ 	is.character(x[["curve"]])
+ 	length(x[["curve"]]) == 1L
+ 	any(x[["curve"]] == eval(formals(egf_model)[["curve"]]))
+ 
+ 	is.logical(x[["excess"]])
+ 	length(x[["excess"]]) == 1L
+ 	!is.na(x[["excess"]])
+ 
+ 	is.character(x[["family"]])
+ 	length(x[["family"]]) == 1L
+ 	any(x[["family"]] == eval(formals(egf_model)[["family"]]))
+ 
+ 	is.integer(x[["day_of_week"]])
+ 	length(x[["day_of_week"]]) == 1L
+ 	any(x[["day_of_week"]] == 0:7)
+ })
> 
> 
> ## egf_control #########################################################
> 
> x <- egf_control()
> nms <- c("outer_optimizer", "inner_optimizer", "trace",
+          "profile", "sparse_X", "omp_num_threads")
> 
> stopifnot(exprs = {
+ 	is.list(x)
+ 	identical(oldClass(x), "egf_control")
+ 	length(x) == 6L
+ 	identical(names(x), nms)
+ 
+ 	is.list(x[["outer_optimizer"]])
+ 	identical(oldClass(x[["outer_optimizer"]]), "egf_optimizer")
+ 
+ 	is.list(x[["inner_optimizer"]])
+ 	identical(oldClass(x[["inner_optimizer"]]), "egf_optimizer")
+ 
+ 	is.integer(x[["trace"]])
+ 	length(x[["trace"]]) == 1L
+ 	any(x[["trace"]] == 0:2)
+ 
+ 	is.logical(x[["profile"]])
+ 	length(x[["profile"]]) == 1L
+ 	!is.na(x[["profile"]])
+ 
+ 	is.logical(x[["sparse_X"]])
+ 	length(x[["sparse_X"]]) == 1L
+ 	!is.na(x[["sparse_X"]])
+ 
+ 	is.integer(x[["omp_num_threads"]])
+ 	length(x[["omp_num_threads"]]) == 1L
+ 	x[["omp_num_threads"]] > 0L
+ })
> 
> 
> ## egf_optimizer #######################################################
> 
> x <- egf_optimizer()
> nms <- c("f", "args", "control")
> 
> stopifnot(exprs = {
+ 	is.list(x)
+ 	identical(oldClass(x), "egf_optimizer")
+ 	length(x) == 3L
+ 	identical(names(x), nms)
+ 
+ 	is.function(x[["f"]]) && !is.primitive(x[["f"]])
+ 	identical(names(formals(x[["f"]])), c("par", "fn", "gr", "control", "..."))
+ 
+ 	is.list(x[["args"]])
+ 	match(names(x[["args"]]), c("par", "fn", "gr", "control", "..."), 0L) == 0L
+ 
+ 	is.list(x[["control"]])
+ })
> 
> 
> ## egf_parallel ########################################################
> 
> x <- egf_parallel()
> nms <- c("method", "outfile", "cores", "args", "cl")
> 
> stopifnot(exprs = {
+ 	is.list(x)
+ 	identical(oldClass(x), "egf_parallel")
+ 	length(x) == 5L
+ 	identical(names(x), nms)
+ 
+ 	is.character(x[["method"]])
+ 	length(x[["method"]]) == 1L
+ 	any(x[["method"]] == eval(formals(egf_parallel)[["method"]]))
+ 
+ 	is.character(x[["outfile"]])
+ 	length(x[["outfile"]]) == 1L
+ 	!is.na(x[["outfile"]])
+ 
+ 	is.integer(x[["cores"]])
+ 	length(x[["cores"]]) == 1L
+ 	x[["cores"]] > 0L
+ 
+ 	is.list(x[["args"]])
+ 
+ 	is.null(x[["cl"]]) ||
+ 		(is.list(x[["cl"]]) && identical(oldClass(x[["cl"]]), c("SOCKcluster", "cluster")))
+ })
> 
> 
> ## egf_control_plot ####################################################
> 
> reference <- list(window = NULL,
+                   data = list(main = NULL, short = NULL, long = NULL),
+                   predict = list(value = NULL, ci = NULL),
+                   asymptote = NULL,
+                   box = NULL,
+                   axis = list(x = NULL, y = NULL),
+                   title = list(main = NULL, sub = NULL, xlab = NULL, ylab = NULL),
+                   doubling = c(legend = NULL, value = NULL, ci = NULL))
> 
> recurseOK <-
+ function(x, reference) {
+ 	if (is.null(reference))
+ 		stopifnot(is.list(x))
+ 	else
+ 		stopifnot(exprs = {
+ 			is.list(x)
+ 			length(x) == length(reference)
+ 			identical(names(x), names(reference))
+ 			mapply(recurseOK, x, reference)
+ 		})
+ 	TRUE
+ }
> 
> x <- egf_control_plot()
> 
> stopifnot(exprs = {
+ 	is.list(x)
+ 	identical(oldClass(x), "egf_control_plot")
+ 	recurseOK(x, reference)
+ })
> 
> proc.time()
   user  system elapsed 
   1.21    0.12    1.34