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partial select
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using PartSort | |
# we have some array named `ndata` | |
# we need the indices of the lowest `k` elements | |
# we use a preallocated vector `sp` so that we can do this in a loop | |
nn = length(ndata) | |
sp = Array(Int, nn) | |
# this can go in a loop | |
@inbounds for i = 1:nn; sp[i] = i; end | |
sort!(sp, PartialQuickSort(k), Base.Perm(Base.Forward,ndata)) |
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module PartSort | |
using Base.Order | |
import Base: sort!, Sort.Algorithm | |
export PartialQuickSort | |
immutable PartialQuickSort <: Algorithm | |
k::Int | |
end | |
Base.Sort.Float.fpsort!(v::AbstractVector, a::PartialQuickSort, o::Ordering) = sort!(v, 1, length(v), a, o) | |
function sort!(v::AbstractVector, lo::Int, hi::Int, a::PartialQuickSort, o::Ordering) | |
k = a.k | |
while lo < hi | |
hi-lo <= Base.Sort.SMALL_THRESHOLD && return sort!(v, lo, hi, Base.Sort.SMALL_ALGORITHM, o) | |
pivot = v[(lo+hi)>>>1] | |
i, j = lo, hi | |
while true | |
while lt(o, v[i], pivot); i += 1; end | |
while lt(o, pivot, v[j]); j -= 1; end | |
i <= j || break | |
v[i], v[j] = v[j], v[i] | |
i += 1; j -= 1 | |
end | |
if lo < j | |
if j - lo <= k | |
sort!(v, lo, j, QuickSort, o) | |
else | |
sort!(v, lo, j, PartialQuickSort(k), o) | |
end | |
end | |
jk = min(j, lo + k - 1) | |
if (i - lo + 1) <= k | |
k -= j - lo + 1 | |
lo = i | |
else | |
break | |
end | |
end | |
return v | |
end | |
end |
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This is great. Thanks for sharing. I'll test it out in my algorithm and report a performance comparison.