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collections.jl
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collections.jl
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# This file is a part of Julia. License is MIT: http:https://julialang.org/license
module Collections
import Base: setindex!, done, get, hash, haskey, isempty, length, next, getindex, start, copymutable
import ..Order: Forward, Ordering, lt
export
PriorityQueue,
dequeue!,
enqueue!,
heapify!,
heapify,
heappop!,
heappush!,
isheap,
peek
# Some algorithms that can be defined only after infrastructure is in place
Base.append!(a::Vector, iter) = _append!(a, Base.iteratorsize(iter), iter)
function _append!(a, ::Base.HasLength, iter)
n = length(a)
resize!(a, n+length(iter))
@inbounds for (i,item) in zip(n+1:length(a), iter)
a[i] = item
end
a
end
function _append!(a, ::Base.IteratorSize, iter)
for item in iter
push!(a, item)
end
a
end
# Heap operations on flat arrays
# ------------------------------
# Binary heap indexing
heapleft(i::Integer) = 2i
heapright(i::Integer) = 2i + 1
heapparent(i::Integer) = div(i, 2)
# Binary min-heap percolate down.
function percolate_down!(xs::AbstractArray, i::Integer, x=xs[i], o::Ordering=Forward, len::Integer=length(xs))
@inbounds while (l = heapleft(i)) <= len
r = heapright(i)
j = r > len || lt(o, xs[l], xs[r]) ? l : r
if lt(o, xs[j], x)
xs[i] = xs[j]
i = j
else
break
end
end
xs[i] = x
end
percolate_down!(xs::AbstractArray, i::Integer, o::Ordering, len::Integer=length(xs)) = percolate_down!(xs, i, xs[i], o, len)
# Binary min-heap percolate up.
function percolate_up!(xs::AbstractArray, i::Integer, x=xs[i], o::Ordering=Forward)
@inbounds while (j = heapparent(i)) >= 1
if lt(o, x, xs[j])
xs[i] = xs[j]
i = j
else
break
end
end
xs[i] = x
end
percolate_up!{T}(xs::AbstractArray{T}, i::Integer, o::Ordering) = percolate_up!(xs, i, xs[i], o)
"""
heappop!(v, [ord])
Given a binary heap-ordered array, remove and return the lowest ordered element.
For efficiency, this function does not check that the array is indeed heap-ordered.
"""
function heappop!(xs::AbstractArray, o::Ordering=Forward)
x = xs[1]
y = pop!(xs)
if !isempty(xs)
percolate_down!(xs, 1, y, o)
end
x
end
"""
heappush!(v, x, [ord])
Given a binary heap-ordered array, push a new element `x`, preserving the heap property.
For efficiency, this function does not check that the array is indeed heap-ordered.
"""
function heappush!(xs::AbstractArray, x, o::Ordering=Forward)
push!(xs, x)
percolate_up!(xs, length(xs), x, o)
xs
end
# Turn an arbitrary array into a binary min-heap in linear time.
"""
heapify!(v, ord::Ordering=Forward)
In-place [`heapify`](:func:`heapify`).
"""
function heapify!(xs::AbstractArray, o::Ordering=Forward)
for i in heapparent(length(xs)):-1:1
percolate_down!(xs, i, o)
end
xs
end
"""
heapify(v, ord::Ordering=Forward)
Returns a new vector in binary heap order, optionally using the given ordering.
```jldoctest
julia> a = [1,3,4,5,2];
julia> Base.Collections.heapify(a)
5-element Array{Int64,1}:
1
2
4
5
3
julia> Base.Collections.heapify(a, Base.Order.Reverse)
5-element Array{Int64,1}:
5
3
4
1
2
```
"""
heapify(xs::AbstractArray, o::Ordering=Forward) = heapify!(copymutable(xs), o)
"""
isheap(v, ord::Ordering=Forward)
Return `true` if an array is heap-ordered according to the given order.
```jldoctest
julia> a = [1,2,3]
3-element Array{Int64,1}:
1
2
3
julia> Base.Collections.isheap(a,Base.Order.Forward)
true
julia> Base.Collections.isheap(a,Base.Order.Reverse)
false
```
"""
function isheap(xs::AbstractArray, o::Ordering=Forward)
for i in 1:div(length(xs), 2)
if lt(o, xs[heapleft(i)], xs[i]) ||
(heapright(i) <= length(xs) && lt(o, xs[heapright(i)], xs[i]))
return false
end
end
true
end
# PriorityQueue
# -------------
"""
PriorityQueue(K, V, [ord])
Construct a new [`PriorityQueue`](:obj:`PriorityQueue`), with keys of type
`K` and values/priorites of type `V`.
If an order is not given, the priority queue is min-ordered using
the default comparison for `V`.
A `PriorityQueue` acts like a `Dict`, mapping values to their
priorities, with the addition of a `dequeue!` function to remove the
lowest priority element.
```jldoctest
julia> a = Base.Collections.PriorityQueue(["a","b","c"],[2,3,1],Base.Order.Forward)
Base.Collections.PriorityQueue{String,Int64,Base.Order.ForwardOrdering} with 3 entries:
"c" => 1
"b" => 3
"a" => 2
```
"""
type PriorityQueue{K,V,O<:Ordering} <: Associative{K,V}
# Binary heap of (element, priority) pairs.
xs::Array{Pair{K,V}, 1}
o::O
# Map elements to their index in xs
index::Dict{K, Int}
function PriorityQueue(o::O)
new(Array{Pair{K,V}}(0), o, Dict{K, Int}())
end
PriorityQueue() = PriorityQueue{K,V,O}(Forward)
function PriorityQueue(ks::AbstractArray{K}, vs::AbstractArray{V},
o::O)
# TODO: maybe deprecate
if length(ks) != length(vs)
throw(ArgumentError("key and value arrays must have equal lengths"))
end
PriorityQueue{K,V,O}(zip(ks, vs), o)
end
function PriorityQueue(itr, o::O)
xs = Array{Pair{K,V}}(length(itr))
index = Dict{K, Int}()
for (i, (k, v)) in enumerate(itr)
xs[i] = Pair{K,V}(k, v)
if haskey(index, k)
throw(ArgumentError("PriorityQueue keys must be unique"))
end
index[k] = i
end
pq = new(xs, o, index)
# heapify
for i in heapparent(length(pq.xs)):-1:1
percolate_down!(pq, i)
end
pq
end
end
PriorityQueue(o::Ordering=Forward) = PriorityQueue{Any,Any,typeof(o)}(o)
PriorityQueue{K,V}(::Type{K}, ::Type{V}, o::Ordering=Forward) = PriorityQueue{K,V,typeof(o)}(o)
# TODO: maybe deprecate
PriorityQueue{K,V}(ks::AbstractArray{K}, vs::AbstractArray{V},
o::Ordering=Forward) = PriorityQueue{K,V,typeof(o)}(ks, vs, o)
PriorityQueue{K,V}(kvs::Associative{K,V}, o::Ordering=Forward) = PriorityQueue{K,V,typeof(o)}(kvs, o)
PriorityQueue{K,V}(a::AbstractArray{Tuple{K,V}}, o::Ordering=Forward) = PriorityQueue{K,V,typeof(o)}(a, o)
length(pq::PriorityQueue) = length(pq.xs)
isempty(pq::PriorityQueue) = isempty(pq.xs)
haskey(pq::PriorityQueue, key) = haskey(pq.index, key)
"""
peek(pq)
Return the lowest priority key from a priority queue without removing that
key from the queue.
"""
peek(pq::PriorityQueue) = pq.xs[1]
function percolate_down!(pq::PriorityQueue, i::Integer)
x = pq.xs[i]
@inbounds while (l = heapleft(i)) <= length(pq)
r = heapright(i)
j = r > length(pq) || lt(pq.o, pq.xs[l].second, pq.xs[r].second) ? l : r
if lt(pq.o, pq.xs[j].second, x.second)
pq.index[pq.xs[j].first] = i
pq.xs[i] = pq.xs[j]
i = j
else
break
end
end
pq.index[x.first] = i
pq.xs[i] = x
end
function percolate_up!(pq::PriorityQueue, i::Integer)
x = pq.xs[i]
@inbounds while i > 1
j = heapparent(i)
if lt(pq.o, x.second, pq.xs[j].second)
pq.index[pq.xs[j].first] = i
pq.xs[i] = pq.xs[j]
i = j
else
break
end
end
pq.index[x.first] = i
pq.xs[i] = x
end
# Equivalent to percolate_up! with an element having lower priority than any other
function force_up!(pq::PriorityQueue, i::Integer)
x = pq.xs[i]
@inbounds while i > 1
j = heapparent(i)
pq.index[pq.xs[j].first] = i
pq.xs[i] = pq.xs[j]
i = j
end
pq.index[x.first] = i
pq.xs[i] = x
end
function getindex{K,V}(pq::PriorityQueue{K,V}, key)
pq.xs[pq.index[key]].second
end
function get{K,V}(pq::PriorityQueue{K,V}, key, deflt)
i = get(pq.index, key, 0)
i == 0 ? deflt : pq.xs[i].second
end
# Change the priority of an existing element, or equeue it if it isn't present.
function setindex!{K,V}(pq::PriorityQueue{K, V}, value, key)
if haskey(pq, key)
i = pq.index[key]
oldvalue = pq.xs[i].second
pq.xs[i] = Pair{K,V}(key, value)
if lt(pq.o, oldvalue, value)
percolate_down!(pq, i)
else
percolate_up!(pq, i)
end
else
enqueue!(pq, key, value)
end
value
end
"""
enqueue!(pq, k, v)
Insert the a key `k` into a priority queue `pq` with priority `v`.
```jldoctest
julia> a = Base.Collections.PriorityQueue(["a","b","c"],[2,3,1],Base.Order.Forward)
Base.Collections.PriorityQueue{String,Int64,Base.Order.ForwardOrdering} with 3 entries:
"c" => 1
"b" => 3
"a" => 2
julia> Base.Collections.enqueue!(a, "d", 4)
Base.Collections.PriorityQueue{String,Int64,Base.Order.ForwardOrdering} with 4 entries:
"c" => 1
"b" => 3
"a" => 2
"d" => 4
```
"""
function enqueue!{K,V}(pq::PriorityQueue{K,V}, key, value)
if haskey(pq, key)
throw(ArgumentError("PriorityQueue keys must be unique"))
end
push!(pq.xs, Pair{K,V}(key, value))
pq.index[key] = length(pq)
percolate_up!(pq, length(pq))
pq
end
"""
dequeue!(pq)
Remove and return the lowest priority key from a priority queue.
```jldoctest
julia> a = Base.Collections.PriorityQueue(["a","b","c"],[2,3,1],Base.Order.Forward)
Base.Collections.PriorityQueue{String,Int64,Base.Order.ForwardOrdering} with 3 entries:
"c" => 1
"b" => 3
"a" => 2
julia> Base.Collections.dequeue!(a)
"c"
julia> a
Base.Collections.PriorityQueue{String,Int64,Base.Order.ForwardOrdering} with 2 entries:
"b" => 3
"a" => 2
```
"""
function dequeue!(pq::PriorityQueue)
x = pq.xs[1]
y = pop!(pq.xs)
if !isempty(pq)
pq.xs[1] = y
pq.index[y.first] = 1
percolate_down!(pq, 1)
end
delete!(pq.index, x.first)
x.first
end
function dequeue!(pq::PriorityQueue, key)
idx = pq.index[key]
force_up!(pq, idx)
dequeue!(pq)
key
end
# Unordered iteration through key value pairs in a PriorityQueue
start(pq::PriorityQueue) = start(pq.index)
done(pq::PriorityQueue, i) = done(pq.index, i)
function next{K,V}(pq::PriorityQueue{K,V}, i)
(k, idx), i = next(pq.index, i)
return (pq.xs[idx], i)
end
end # module Collections