Nothing

```
# One-by-one bootstrapping
bootstrap <- function(A, B, nb, smooth=TRUE, kmax=3, adjust=NA, n.grid=128,
type=c("Dhat1", "Dhat4", "Dhat5"), cores=1) {
type <- match.arg(type)
if(is.na(adjust))
adjust <- c(0.8, 1, 4)[match(type, c("Dhat1", "Dhat4", "Dhat5"))]
if(is.na(cores))
cores <- parallel::detectCores() - 1
n <- c(length(A), length(B))
probA <- probB <- NULL
out <- rep(NA_real_, nb)
if(smooth) {
bw0 <- getBandWidth(A, kmax=kmax)
if(is.na(bw0)) # if Uniroot Error
return(out)
probA <- densityFit(A, seq(0, 2*pi, length=512), bw0)[-1] # first & last are both midnight
bw0 <- getBandWidth(B, kmax=kmax)
if(is.na(bw0))
return(out)
probB <- densityFit(B, seq(0, 2*pi, length=512), bw0)[-1]
A <- B <- seq(0, 2*pi, length=512)[-1]
}
run1 <- function(...) {
# resample both
Ares <- sample(A, n[1], replace=TRUE, prob=probA)
Bres <- sample(B, n[2], replace=TRUE, prob=probB)
# calculate overlap
return(overlap::overlapEst(Ares, Bres, kmax=kmax, adjust=adjust,
n.grid=n.grid, type=type))
}
if(cores == 1) {
out <- sapply(seq_len(nb), run1)
} else {
cl <- makeCluster(cores) ; on.exit(stopCluster(cl))
out <- parSapply(cl, seq_len(nb), run1)
}
return(unname(out))
}
```

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