source('helper_functions.r')
N <- 2e5 # hopefully only thing that needs to be touched
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Set up ####
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
SEED <- 45
RNGkind("L'Ecuyer-CMRG")
set.seed(SEED)
CORES_1 <- 4
CORES_2 <- sqrt(CORES_1)
if(! isWhole(CORES_2)) {
stop('sqrt(CORES_1) must be an integer')
}
REP <- 25*CORES_1
targ_runLen <- N/2
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Auxiliary functions ####
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
run_len_calculator <- function (score, thres) {
cp <- which(score >= thres)[1]
ifelse(is.na(cp), length(score), cp)
}
fn_thre_cand <- function(avg_run_len, thre_seq, target) {
thre_seq[which(avg_run_len > target)[1]]
}
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# Simulation ####
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
t0 <- Sys.time()
l_noise <- mclapply(1:REP, function (i) rnorm(N), mc.cores = CORES_1)
cat('l_noise done. '); print(Sys.time() - t0);
t0 <- Sys.time()
GHA_run <- mclapply(X = l_noise,
FUN = scoresGHA, #cpp function
mc.cores = CORES_1
)
cat('GHA_run done. '); print(Sys.time() - t0)
thre_seq <- seq(3, 7, by = .01)
avg_run_len <- rep(NA, length(thre_seq))
t0 <- Sys.time()
avg_run_len <-
mclapply(seq_along(thre_seq),
function(i) {
mclapply(GHA_run, run_len_calculator,
thres = thre_seq[i],
mc.cores = CORES_2) %>%
unlist %>%
mean
},
mc.cores = CORES_2
) %>% unlist
cat('avg_run_len done. '); print(Sys.time() - t0); cat('\n')
threshGHA <- fn_thre_cand(avg_run_len, thre_seq, targ_runLen)
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
# results / plots ####
# %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
cat('threshGHA:', threshGHA, '\n')
cat('CORES_1:', CORES_1, '\n')
cat('N:', N, '\n')
mat <- cbind(thre_seq, avg_run_len)
colnames(mat) <- c('threshold', 'avg_run_len')
plot(
x = mat,
type = 'l',
main = paste('N:', N, '| Target run length:', targ_runLen, '| REP:', REP)
)
abline(v = threshGHA)
text(threshGHA, 1, paste0('GHA threshold: ', threshGHA))
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