tasks a-s

This commit is contained in:
Ingy döt Net 2013-04-10 23:57:08 -07:00
parent 47bf37c096
commit b83f433714
12433 changed files with 156208 additions and 123 deletions

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A [[wp:Priority queue|priority queue]] is somewhat similar to a [[Queue|queue]], with an important distinction: each item is added to a priority queue with a priority level, and will be later removed from the queue with the highest priority element first. That is, the items are (conceptually) stored in the queue in priority order instead of in insertion order.
'''Task:''' Create a priority queue. The queue must support at least two operations:
# Insertion. An element is added to the queue with a priority (a numeric value).
# Top item removal. Deletes the element or one of the elements with the current top priority and return it.
Optionally, other operations may be defined, such as peeking (find what current top priority/top element is), merging (combining two priority queues into one), etc.
To test your implementation, insert a number of elements into the queue, each with some random priority. Then dequeue them sequentially; now the elements should be sorted by priority. You can use the following task/priority items as input data:
'''Priority''' '''Task'''
3 Clear drains
4 Feed cat
5 Make tea
1 Solve RC tasks
2 Tax return
The implementation should try to be efficient. A typical implementation has O(log n) insertion and extraction time, where n is the number of items in the queue. You may choose to impose certain limits such as small range of allowed priority levels, limited capacity, etc. If so, discuss the reasons behind it.

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with Ada.Containers.Synchronized_Queue_Interfaces;
with Ada.Containers.Unbounded_Priority_Queues;
with Ada.Strings.Unbounded;
procedure Priority_Queues is
use Ada.Containers;
use Ada.Strings.Unbounded;
type Queue_Element is record
Priority : Natural;
Content : Unbounded_String;
end record;
function Get_Priority (Element : Queue_Element) return Natural is
begin
return Element.Priority;
end Get_Priority;
function Before (Left, Right : Natural) return Boolean is
begin
return Left > Right;
end Before;
package String_Queues is new Synchronized_Queue_Interfaces
(Element_Type => Queue_Element);
package String_Priority_Queues is new Unbounded_Priority_Queues
(Queue_Interfaces => String_Queues,
Queue_Priority => Natural);
My_Queue : String_Priority_Queues.Queue;
begin
My_Queue.Enqueue (New_Item => (Priority => 3, Content => To_Unbounded_String ("Clear drains")));
My_Queue.Enqueue (New_Item => (Priority => 4, Content => To_Unbounded_String ("Feed cat")));
My_Queue.Enqueue (New_Item => (Priority => 5, Content => To_Unbounded_String ("Make tea")));
My_Queue.Enqueue (New_Item => (Priority => 1, Content => To_Unbounded_String ("Solve RC tasks")));
My_Queue.Enqueue (New_Item => (Priority => 2, Content => To_Unbounded_String ("Tax return")));
declare
Element : Queue_Element;
begin
while My_Queue.Current_Use > 0 loop
My_Queue.Dequeue (Element => Element);
Ada.Text_IO.Put_Line (Natural'Image (Element.Priority) & " => " & To_String (Element.Content));
end loop;
end;
end Priority_Queues;

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)abbrev Domain ORDKE OrderedKeyEntry
OrderedKeyEntry(Key:OrderedSet,Entry:SetCategory): Exports == Implementation where
Exports == OrderedSet with
construct: (Key,Entry) -> %
elt: (%,"key") -> Key
elt: (%,"entry") -> Entry
Implementation == add
Rep := Record(k:Key,e:Entry)
x,y: %
construct(a,b) == construct(a,b)$Rep @ %
elt(x,"key"):Key == (x@Rep).k
elt(x,"entry"):Entry == (x@Rep).e
x < y == x.key < y.key
x = y == x.key = y.key
hash x == hash(x.key)
if Entry has CoercibleTo OutputForm then
coerce(x):OutputForm == bracket [(x.key)::OutputForm,(x.entry)::OutputForm]
)abbrev Domain PRIORITY PriorityQueue
S ==> OrderedKeyEntry(Key,Entry)
PriorityQueue(Key:OrderedSet,Entry:SetCategory): Exports == Implementation where
Exports == PriorityQueueAggregate S with
heap : List S -> %
setelt: (%,Key,Entry) -> Entry
Implementation == Heap(S) add
setelt(x:%,key:Key,entry:Entry) ==
insert!(construct(key,entry)$S,x)
entry

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pq := empty()$PriorityQueue(Integer,String)
pq(3):="Clear drains";
pq(4):="Feed cat";
pq(5):="Make tea";
pq(1):="Solve RC tasks";
pq(2):="Tax return";
[extract!(pq) for i in 1..#pq]

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[[5,"Make tea"], [4,"Feed cat"], [3,"Clear drains"], [2,"Tax return"],
[1,"Solve RC tasks"]]
Type: List(OrderedKeyEntry(Integer,String))

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#include <iostream>
#include <string>
#include <queue>
#include <utility>
int main() {
std::priority_queue<std::pair<int, std::string> > pq;
pq.push(std::make_pair(3, "Clear drains"));
pq.push(std::make_pair(4, "Feed cat"));
pq.push(std::make_pair(5, "Make tea"));
pq.push(std::make_pair(1, "Solve RC tasks"));
pq.push(std::make_pair(2, "Tax return"));
while (!pq.empty()) {
std::cout << pq.top().first << ", " << pq.top().second << std::endl;
pq.pop();
}
return 0;
}

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#include <iostream>
#include <string>
#include <vector>
#include <algorithm>
#include <utility>
int main() {
std::vector<std::pair<int, std::string> > pq;
pq.push_back(std::make_pair(3, "Clear drains"));
pq.push_back(std::make_pair(4, "Feed cat"));
pq.push_back(std::make_pair(5, "Make tea"));
pq.push_back(std::make_pair(1, "Solve RC tasks"));
// heapify
std::make_heap(pq.begin(), pq.end());
// enqueue
pq.push_back(std::make_pair(2, "Tax return"));
std::push_heap(pq.begin(), pq.end());
while (!pq.empty()) {
// peek
std::cout << pq[0].first << ", " << pq[0].second << std::endl;
// dequeue
std::pop_heap(pq.begin(), pq.end());
pq.pop_back();
}
return 0;
}

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#include <stdio.h>
#include <stdlib.h>
typedef struct { void * data; int pri; } q_elem_t;
typedef struct { q_elem_t *buf; int n, alloc; } pri_queue_t, *pri_queue;
#define priq_purge(q) (q)->n = 1
#define priq_size(q) ((q)->n - 1)
/* first element in array not used to simplify indices */
pri_queue priq_new(int size)
{
if (size < 4) size = 4;
pri_queue q = malloc(sizeof(pri_queue_t));
q->buf = malloc(sizeof(q_elem_t) * size);
q->alloc = size;
q->n = 1;
return q;
}
void priq_push(pri_queue q, void *data, int pri)
{
q_elem_t *b;
int n, m;
if (q->n >= q->alloc) {
q->alloc *= 2;
b = q->buf = realloc(q->buf, sizeof(q_elem_t) * q->alloc);
} else
b = q->buf;
n = q->n++;
/* append at end, then up heap */
while ((m = n / 2) && pri < b[m].pri) {
b[n] = b[m];
n = m;
}
b[n].data = data;
b[n].pri = pri;
}
/* remove top item. returns 0 if empty. *pri can be null. */
void * priq_pop(pri_queue q, int *pri)
{
void *out;
if (q->n == 1) return 0;
q_elem_t *b = q->buf;
out = b[1].data;
if (pri) *pri = b[1].pri;
/* pull last item to top, then down heap. */
--q->n;
int n = 1, m;
while ((m = n * 2) < q->n) {
if (m + 1 < q->n && b[m].pri > b[m + 1].pri) m++;
if (b[q->n].pri <= b[m].pri) break;
b[n] = b[m];
n = m;
}
b[n] = b[q->n];
if (q->n < q->alloc / 2 && q->n >= 16)
q->buf = realloc(q->buf, (q->alloc /= 2) * sizeof(b[0]));
return out;
}
/* get the top element without removing it from queue */
void* priq_top(pri_queue q, int *pri)
{
if (q->n == 1) return 0;
if (pri) *pri = q->buf[1].pri;
return q->buf[1].data;
}
/* this is O(n log n), but probably not the best */
void priq_combine(pri_queue q, pri_queue q2)
{
int i;
q_elem_t *e = q2->buf + 1;
for (i = q2->n - 1; i >= 1; i--, e++)
priq_push(q, e->data, e->pri);
priq_purge(q2);
}
int main()
{
int i, p;
const char *c, *tasks[] ={
"Clear drains", "Feed cat", "Make tea", "Solve RC tasks", "Tax return" };
int pri[] = { 3, 4, 5, 1, 2 };
/* make two queues */
pri_queue q = priq_new(0), q2 = priq_new(0);
/* push all 5 tasks into q */
for (i = 0; i < 5; i++)
priq_push(q, tasks[i], pri[i]);
/* pop them and print one by one */
while ((c = priq_pop(q, &p)))
printf("%d: %s\n", p, c);
/* put a million random tasks in each queue */
for (i = 0; i < 1 << 20; i++) {
p = rand() / ( RAND_MAX / 5 );
priq_push(q, tasks[p], pri[p]);
p = rand() / ( RAND_MAX / 5 );
priq_push(q2, tasks[p], pri[p]);
}
printf("\nq has %d items, q2 has %d items\n", priq_size(q), priq_size(q2));
/* merge q2 into q; q2 is empty */
priq_combine(q, q2);
printf("After merge, q has %d items, q2 has %d items\n",
priq_size(q), priq_size(q2));
/* pop q until it's empty */
for (i = 0; (c = priq_pop(q, 0)); i++);
printf("Popped %d items out of q\n", i);
return 0;
}

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1: Solve RC tasks
2: Tax return
3: Clear drains
4: Feed cat
5: Make tea
q has 1048576 items, q2 has 1048576 items
After merge, q has 2097152 items, q2 has 0 items
Popped 2097152 items out of q

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PriorityQueue = ->
# Use closure style for object creation (so no "new" required).
# Private variables are toward top.
h = []
better = (a, b) ->
h[a].priority < h[b].priority
swap = (a, b) ->
[h[a], h[b]] = [h[b], h[a]]
sift_down = ->
max = h.length
n = 0
while n < max
c1 = 2*n + 1
c2 = c1 + 1
best = n
best = c1 if c1 < max and better(c1, best)
best = c2 if c2 < max and better(c2, best)
return if best == n
swap n, best
n = best
sift_up = ->
n = h.length - 1
while n > 0
parent = Math.floor((n-1) / 2)
return if better parent, n
swap n, parent
n = parent
# now return the public interface, which is an object that only
# has functions on it
self =
size: ->
h.length
push: (priority, value) ->
elem =
priority: priority
value: value
h.push elem
sift_up()
pop: ->
throw Error("cannot pop from empty queue") if h.length == 0
value = h[0].value
last = h.pop()
if h.length > 0
h[0] = last
sift_down()
value
# test
do ->
pq = PriorityQueue()
pq.push 3, "Clear drains"
pq.push 4, "Feed cat"
pq.push 5, "Make tea"
pq.push 1, "Solve RC tasks"
pq.push 2, "Tax return"
while pq.size() > 0
console.log pq.pop()
# test high performance
for n in [1..100000]
priority = Math.random()
pq.push priority, priority
v = pq.pop()
console.log "First random element was #{v}"
while pq.size() > 0
new_v = pq.pop()
throw Error "Queue broken" if new_v < v
v = new_v
console.log "Final random element was #{v}"

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> coffee priority_queue.coffee
Solve RC tasks
Tax return
Clear drains
Feed cat
Make tea
First random element was 0.00002744467929005623
Final random element was 0.9999718656763434

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import std.stdio, std.container, std.array, std.typecons;
void main() {
alias tuple T;
auto heap = heapify([T(3, "Clear drains"),
T(4, "Feed cat"),
T(5, "Make tea"),
T(1, "Solve RC tasks"),
T(2, "Tax return")]);
while (!heap.empty) {
writeln(heap.front);
heap.removeFront();
}
}

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<min-heap> [ {
{ 3 "Clear drains" }
{ 4 "Feed cat" }
{ 5 "Make tea" }
{ 1 "Solve RC tasks" }
{ 2 "Tax return" }
} swap heap-push-all
] [
[ print ] slurp-heap
] bi

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Solve RC tasks
Tax return
Clear drains
Feed cat
Make tea

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package main
import (
"fmt"
"container/heap"
)
type Task struct {
priority int
name string
}
type TaskPQ []Task
func (self TaskPQ) Len() int { return len(self) }
func (self TaskPQ) Less(i, j int) bool {
return self[i].priority < self[j].priority
}
func (self TaskPQ) Swap(i, j int) { self[i], self[j] = self[j], self[i] }
func (self *TaskPQ) Push(x interface{}) { *self = append(*self, x.(Task)) }
func (self *TaskPQ) Pop() (popped interface{}) {
popped = (*self)[len(*self)-1]
*self = (*self)[:len(*self)-1]
return
}
func main() {
pq := &TaskPQ{{3, "Clear drains"},
{4, "Feed cat"},
{5, "Make tea"},
{1, "Solve RC tasks"}}
// heapify
heap.Init(pq)
// enqueue
heap.Push(pq, Task{2, "Tax return"})
for pq.Len() != 0 {
// dequeue
fmt.Println(heap.Pop(pq))
}
}

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import Data.PQueue.Prio.Min
main = print (toList (fromList [(3, "Clear drains"),(4, "Feed cat"),(5, "Make tea"),(1, "Solve RC tasks"), (2, "Tax return")]))

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data MinHeap a = Nil | MinHeap { v::a, cnt::Int, l::MinHeap a, r::MinHeap a }
deriving (Show, Eq)
hPush :: (Ord a) => a -> MinHeap a -> MinHeap a
hPush x Nil = MinHeap {v = x, cnt = 1, l = Nil, r = Nil}
hPush x h = if x < vv -- insert element, try to keep the tree balanced
then if hLength (l h) <= hLength (r h)
then MinHeap { v=x, cnt=cc, l=hPush vv ll, r=rr }
else MinHeap { v=x, cnt=cc, l=ll, r=hPush vv rr }
else if hLength (l h) <= hLength (r h)
then MinHeap { v=vv, cnt=cc, l=hPush x ll, r=rr }
else MinHeap { v=vv, cnt=cc, l=ll, r=hPush x rr }
where (vv, cc, ll, rr) = (v h, 1 + cnt h, l h, r h)
hPop :: (Ord a) => MinHeap a -> (a, MinHeap a)
hPop h = (v h, pq) where -- just pop, heed not the tree balance
pq | l h == Nil = r h
| r h == Nil = l h
| v (l h) <= v (r h) = let (vv,hh) = hPop (l h) in
MinHeap {v = vv, cnt = hLength hh + hLength (r h),
l = hh, r = r h}
| otherwise = let (vv,hh) = hPop (r h) in
MinHeap {v = vv, cnt = hLength hh + hLength (l h),
l = l h, r = hh}
hLength :: (Ord a) => MinHeap a -> Int
hLength Nil = 0
hLength h = cnt h
hFromList :: (Ord a) => [a] -> MinHeap a
hFromList xs = hlist Nil xs where
hlist h [] = h
hlist h (x:xs) = hlist (hPush x h) xs
hToList :: (Ord a) => MinHeap a -> [a]
hToList Nil = []
hToList h = x:hToList hh where (x,hh) = hPop h
main = mapM print $ (hToList (hFromList [
(3, "Clear drains"),
(4, "Feed cat"),
(5, "Make tea"),
(1, "Solve RC tasks"),
(2, "Tax return")]))

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import Utils # For Closure class
import Collections # For Heap (dense priority queue) class
procedure main()
pq := Heap(, Closure("[]",Arg,1) )
pq.add([3, "Clear drains"])
pq.add([4, "Feed cat"])
pq.add([5, "Make tea"])
pq.add([1, "Solve RC tasks"])
pq.add([2, "Tax return"])
while task := pq.get() do write(task[1]," -> ",task[2])
end

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coclass 'priorityQueue'
PRI=: ''
QUE=: ''
insert=:4 :0
p=. PRI,x
q=. QUE,y
assert. p -:&$ q
assert. 1 = #$q
ord=: \: p
QUE=: ord { q
PRI=: ord { p
i.0 0
)
topN=:3 :0
assert y<:#PRI
r=. y{.QUE
PRI=: y}.PRI
QUE=: y}.QUE
r
)

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Q=: conew'priorityQueue'
3 4 5 1 2 insert__Q 'clear drains';'feed cat';'make tea';'solve rc task';'tax return'
>topN__Q 1
make tea
>topN__Q 4
feed cat
clear drains
tax return
solve rc task

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import java.util.PriorityQueue;
class Task implements Comparable<Task> {
final int priority;
final String name;
public Task(int p, String n) {
priority = p;
name = n;
}
public String toString() {
return priority + ", " + name;
}
public int compareTo(Task other) {
return priority < other.priority ? -1 : priority > other.priority ? 1 : 0;
}
public static final void main(String[] args) {
PriorityQueue<Task> pq = new PriorityQueue<Task>();
pq.add(new Task(3, "Clear drains"));
pq.add(new Task(4, "Feed cat"));
pq.add(new Task(5, "Make tea"));
pq.add(new Task(1, "Solve RC tasks"));
pq.add(new Task(2, "Tax return"));
while (!pq.isEmpty())
System.out.println(pq.remove());
}
}

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push = Function[{queue, priority, item},
queue = SortBy[Append[queue, {priority, item}], First], HoldFirst];
pop = Function[queue,
If[Length@queue == 0, Null,
With[{item = queue[[-1, 2]]}, queue = Most@queue; item]],
HoldFirst];
peek = Function[queue,
If[Length@queue == 0, Null, Max[queue[[All, 1]]]], HoldFirst];
merge = Function[{queue1, queue2},
SortBy[Join[queue1, queue2], First], HoldAll];

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queue = {};
push[queue, 3, "Clear drains"];
push[queue, 4, "Feed cat"];
push[queue, 5, "Make tea"];
push[queue, 1, "Solve RC tasks"];
push[queue, 2, "Tax return"];
Print[peek[queue]];
Print[pop[queue]];
queue1 = {};
push[queue1, 6, "Drink tea"];
Print[merge[queue, queue1]];

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/* Naive implementation using a sorted list of pairs [key, [item[1], ..., item[n]]].
The key may be any number (integer or not). Items are extracted in FIFO order. */
defstruct(pqueue(q = []))$
/* Binary search */
find_key(q, p) := block(
[i: 1, j: length(q), k, c],
if j = 0 then false
elseif (c: q[i][1]) >= p then
(if c = p then i else false)
elseif (c: q[j][1]) <= p then
(if c = p then j else false)
else catch(
while j >= i do (
k: quotient(i + j, 2),
if (c: q[k][1]) = p then throw(k)
elseif c < p then i: k + 1 else j: k - 1
),
false
)
)$
pqueue_push(pq, x, p) := block(
[q: pq@q, k],
k: find_key(q, p),
if integerp(k) then q[k][2]: endcons(x, q[k][2])
else pq@q: sort(cons([p, [x]], q)),
'done
)$
pqueue_pop(pq) := block(
[q: pq@q, v, x],
if emptyp(q) then 'fail else (
p: q[1][1],
v: q[1][2],
x: v[1],
if length(v) > 1 then q[1][2]: rest(v) else pq@q: rest(q),
x
)
)$
pqueue_print(pq) := block([t], while (t: pqueue_pop(pq)) # 'fail do disp(t))$
/* An example */
a: new(pqueue)$
pqueue_push(a, "take milk", 4)$
pqueue_push(a, "take eggs", 4)$
pqueue_push(a, "take wheat flour", 4)$
pqueue_push(a, "take salt", 4)$
pqueue_push(a, "take oil", 4)$
pqueue_push(a, "carry out crepe recipe", 5)$
pqueue_push(a, "savour !", 6)$
pqueue_push(a, "add strawberry jam", 5 + 1/2)$
pqueue_push(a, "call friends", 5 + 2/3)$
pqueue_push(a, "go to the supermarket and buy food", 3)$
pqueue_push(a, "take a shower", 2)$
pqueue_push(a, "get dressed", 2)$
pqueue_push(a, "wake up", 1)$
pqueue_push(a, "serve cider", 5 + 3/4)$
pqueue_push(a, "buy also cider", 3)$
pqueue_print(a);
"wake up"
"take a shower"
"get dressed"
"go to the supermarket and buy food"
"buy also cider"
"take milk"
"take butter"
"take flour"
"take salt"
"take oil"
"carry out recipe"
"add strawberry jam"
"call friends"
"serve cider"
"savour !"

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module PQ = Base.PriorityQueue
let () =
let tasks = [
3, "Clear drains";
4, "Feed cat";
5, "Make tea";
1, "Solve RC tasks";
2, "Tax return";
] in
let pq = PQ.make (fun (prio1, _) (prio2, _) -> prio1 > prio2) in
List.iter (PQ.add pq) tasks;
while not (PQ.is_empty pq) do
let _, task = PQ.first pq in
PQ.remove_first pq;
print_endline task
done

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module PQSet = Set.Make
(struct
type t = int * string (* pair of priority and task name *)
let compare = compare
end);;
let () =
let tasks = [
3, "Clear drains";
4, "Feed cat";
5, "Make tea";
1, "Solve RC tasks";
2, "Tax return";
] in
let pq = List.fold_right PQSet.add tasks PQSet.empty in
let rec aux pq' =
if not (PQSet.is_empty pq') then begin
let prio, name as task = PQSet.min_elt pq' in
Printf.printf "%d, %s\n" prio name;
aux (PQSet.remove task pq')
end
in aux pq

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#import <Foundation/Foundation.h>
const void *PQRetain(CFAllocatorRef allocator, const void *ptr) {
return [(id)ptr retain];
}
void PQRelease(CFAllocatorRef allocator, const void *ptr) {
[(id)ptr release];
}
CFComparisonResult PQCompare(const void *ptr1, const void *ptr2, void *unused) {
return [(id)ptr1 compare:(id)ptr2];
}
@interface Task : NSObject {
int priority;
NSString *name;
}
- (id)initWithPriority:(int)p andName:(NSString *)n;
- (NSComparisonResult)compare:(Task *)other;
@end
@implementation Task
- (id)initWithPriority:(int)p andName:(NSString *)n {
if ((self = [super init])) {
priority = p;
name = [n copy];
}
return self;
}
- (void)dealloc {
[name release];
[super dealloc];
}
- (NSString *)description {
return [NSString stringWithFormat:@"%d, %@", priority, name];
}
- (NSComparisonResult)compare:(Task *)other {
if (priority == other->priority)
return NSOrderedSame;
else if (priority < other->priority)
return NSOrderedAscending;
else
return NSOrderedDescending;
}
@end
int main (int argc, const char *argv[]) {
NSAutoreleasePool * pool = [[NSAutoreleasePool alloc] init];
CFBinaryHeapCallBacks callBacks = {0, PQRetain, PQRelease, NULL, PQCompare};
CFBinaryHeapRef pq = CFBinaryHeapCreate(NULL, 0, &callBacks, NULL);
CFBinaryHeapAddValue(pq, [[[Task alloc] initWithPriority:3 andName:@"Clear drains"] autorelease]);
CFBinaryHeapAddValue(pq, [[[Task alloc] initWithPriority:4 andName:@"Feed cat"] autorelease]);
CFBinaryHeapAddValue(pq, [[[Task alloc] initWithPriority:5 andName:@"Make tea"] autorelease]);
CFBinaryHeapAddValue(pq, [[[Task alloc] initWithPriority:1 andName:@"Solve RC tasks"] autorelease]);
CFBinaryHeapAddValue(pq, [[[Task alloc] initWithPriority:2 andName:@"Tax return"] autorelease]);
while (CFBinaryHeapGetCount(pq) != 0) {
Task *task = (id)CFBinaryHeapGetMinimum(pq);
NSLog(@"%@", task);
CFBinaryHeapRemoveMinimumValue(pq);
}
CFRelease(pq);
[pool drain];
return 0;
}

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<?php
$pq = new SplPriorityQueue;
$pq->insert('Clear drains', 3);
$pq->insert('Feed cat', 4);
$pq->insert('Make tea', 5);
$pq->insert('Solve RC tasks', 1);
$pq->insert('Tax return', 2);
// This line causes extract() to return both the data and priority (in an associative array),
// Otherwise it would just return the data
$pq->setExtractFlags(SplPriorityQueue::EXTR_BOTH);
while (!$pq->isEmpty()) {
print_r($pq->extract());
}
?>

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<?php
$pq = new SplMinHeap;
$pq->insert(array(3, 'Clear drains'));
$pq->insert(array(4, 'Feed cat'));
$pq->insert(array(5, 'Make tea'));
$pq->insert(array(1, 'Solve RC tasks'));
$pq->insert(array(2, 'Tax return'));
while (!$pq->isEmpty()) {
print_r($pq->extract());
}
?>

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class PriorityQueue {
has @!tasks is rw;
method insert ( Int $priority where { $priority >= 0 }, $task ) {
@!tasks[$priority] //= [];
@!tasks[$priority].push: $task;
}
method get { @!tasks.first({$^_}).shift }
method is_empty { !?@!tasks.first({$^_}) }
}
my $pq = PriorityQueue.new;
for (
3, 'Clear drains',
4, 'Feed cat',
5, 'Make tea',
9, 'Sleep',
3, 'Check email',
1, 'Solve RC tasks',
9, 'Exercise',
2, 'Do taxes'
) -> $priority, $task {
$pq.insert( $priority, $task );
}
say $pq.get until $pq.is_empty;

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use 5.10.0;
use strict;
use Heap::Priority;
my $h = new Heap::Priority;
$h->highest_first(); # higher or lower number is more important
$h->add(@$_) for ["Clear drains", 3],
["Feed cat", 4],
["Make tea", 5],
["Solve RC tasks", 1],
["Tax return", 2];
say while ($_ = $h->pop);

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Make tea
Feed cat
Clear drains
Tax return
Solve RC tasks

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# Insert item into priority queue
(de insertPQ (Queue Prio Item)
(idx Queue (cons Prio Item) T) )
# Remove and return top item from priority queue
(de removePQ (Queue)
(cdar (idx Queue (peekPQ Queue) NIL)) )
# Find top element in priority queue
(de peekPQ (Queue)
(let V (val Queue)
(while (cadr V)
(setq V @) )
(car V) ) )
# Merge second queue into first
(de mergePQ (Queue1 Queue2)
(balance Queue1 (sort (conc (idx Queue1) (idx Queue2)))) )

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# Two priority queues
(off Pq1 Pq2)
# Insert into first queue
(insertPQ 'Pq1 3 '(Clear drains))
(insertPQ 'Pq1 4 '(Feed cat))
# Insert into second queue
(insertPQ 'Pq2 5 '(Make tea))
(insertPQ 'Pq2 1 '(Solve RC tasks))
(insertPQ 'Pq2 2 '(Tax return))
# Merge second into first queue
(mergePQ 'Pq1 'Pq2)
# Remove and print all items from first queue
(while Pq1
(println (removePQ 'Pq1)) )

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priority-queue :-
TL0 = [3-'Clear drains',
4-'Feed cat'],
% we can create a priority queue from a list
list_to_heap(TL0, Heap0),
% alternatively we can start from an empty queue
% get from empty_heap/1.
% now we add the other elements
add_to_heap(Heap0, 5, 'Make tea', Heap1),
add_to_heap(Heap1, 1, 'Solve RC tasks', Heap2),
add_to_heap(Heap2, 2, 'Tax return', Heap3),
% we list the content of the heap:
heap_to_list(Heap3, TL1),
writeln('Content of the queue'), maplist(writeln, TL1),
nl,
% now we retrieve the minimum-priority pair
get_from_heap(Heap3, Priority, Key, Heap4),
format('Retrieve top of the queue : Priority ~w, Element ~w~n', [Priority, Key]),
nl,
% we list the content of the heap:
heap_to_list(Heap4, TL2),
writeln('Content of the queue'), maplist(writeln, TL2).

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Structure taskList
List description.s() ;implements FIFO queue
EndStructure
Structure task
*tl.tList ;pointer to a list of task descriptions
Priority.i ;tasks priority, lower value has more priority
EndStructure
Structure priorityQueue
maxHeapSize.i ;increases as needed
heapItemCount.i ;number of elements currently in heap
Array heap.task(0) ;elements hold FIFO queues ordered by priorities, lowest first
map heapMap.taskList() ;holds lists of tasks with the same priority that are FIFO queues
EndStructure
Procedure insertPQ(*PQ.priorityQueue, description.s, p)
If FindMapElement(*PQ\heapMap(), Str(p))
LastElement(*PQ\heapMap()\description())
AddElement(*PQ\heapMap()\description())
*PQ\heapMap()\description() = description
Else
Protected *tl.taskList = AddMapElement(*PQ\heapMap(), Str(p))
AddElement(*tl\description())
*tl\description() = description
Protected pos = *PQ\heapItemCount
*PQ\heapItemCount + 1
If *PQ\heapItemCount > *PQ\maxHeapSize
Select *PQ\maxHeapSize
Case 0
*PQ\maxHeapSize = 128
Default
*PQ\maxHeapSize * 2
EndSelect
Redim *PQ\heap.task(*PQ\maxHeapSize)
EndIf
While pos > 0 And p < *PQ\heap((pos - 1) / 2)\Priority
*PQ\heap(pos) = *PQ\heap((pos - 1) / 2)
pos = (pos - 1) / 2
Wend
*PQ\heap(pos)\tl = *tl
*PQ\heap(pos)\Priority = p
EndIf
EndProcedure
Procedure.s removePQ(*PQ.priorityQueue)
Protected *tl.taskList = *PQ\heap(0)\tl, description.s
FirstElement(*tl\description())
description = *tl\description()
If ListSize(*tl\description()) > 1
DeleteElement(*tl\description())
Else
DeleteMapElement(*PQ\heapMap(), Str(*PQ\heap(0)\Priority))
*PQ\heapItemCount - 1
*PQ\heap(0) = *PQ\heap(*PQ\heapItemCount)
Protected pos
Repeat
Protected child1 = 2 * pos + 1
Protected child2 = 2 * pos + 2
If child1 >= *PQ\heapItemCount
Break
EndIf
Protected smallestChild
If child2 >= *PQ\heapItemCount
smallestChild = child1
ElseIf *PQ\heap(child1)\Priority <= *PQ\heap(child2)\Priority
smallestChild = child1
Else
smallestChild = child2
EndIf
If (*PQ\heap(smallestChild)\Priority >= *PQ\heap(pos)\Priority)
Break
EndIf
Swap *PQ\heap(pos)\tl, *PQ\heap(smallestChild)\tl
Swap *PQ\heap(pos)\Priority, *PQ\heap(smallestChild)\Priority
pos = smallestChild
ForEver
EndIf
ProcedureReturn description
EndProcedure
Procedure isEmptyPQ(*PQ.priorityQueue) ;returns 1 if empty, otherwise returns 0
If *PQ\heapItemCount
ProcedureReturn 0
EndIf
ProcedureReturn 1
EndProcedure
If OpenConsole()
Define PQ.priorityQueue
insertPQ(PQ, "Clear drains", 3)
insertPQ(PQ, "Answer Phone 1", 8)
insertPQ(PQ, "Feed cat", 4)
insertPQ(PQ, "Answer Phone 2", 8)
insertPQ(PQ, "Make tea", 5)
insertPQ(PQ, "Sleep", 9)
insertPQ(PQ, "Check email", 3)
insertPQ(PQ, "Solve RC tasks", 1)
insertPQ(PQ, "Answer Phone 3", 8)
insertPQ(PQ, "Exercise", 9)
insertPQ(PQ, "Answer Phone 4", 8)
insertPQ(PQ, "Tax return", 2)
While Not isEmptyPQ(PQ)
PrintN(removePQ(PQ))
Wend
Print(#CRLF$ + #CRLF$ + "Press ENTER to exit"): Input()
CloseConsole()
EndIf

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>>> import queue
>>> pq = queue.PriorityQueue()
>>> for item in ((3, "Clear drains"), (4, "Feed cat"), (5, "Make tea"), (1, "Solve RC tasks"), (2, "Tax return")):
pq.put(item)
>>> while not pq.empty():
print(pq.get_nowait())
(1, 'Solve RC tasks')
(2, 'Tax return')
(3, 'Clear drains')
(4, 'Feed cat')
(5, 'Make tea')
>>>

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>>> import queue
>>> help(queue.PriorityQueue)
Help on class PriorityQueue in module queue:
class PriorityQueue(Queue)
| Variant of Queue that retrieves open entries in priority order (lowest first).
|
| Entries are typically tuples of the form: (priority number, data).
|
| Method resolution order:
| PriorityQueue
| Queue
| builtins.object
|
| Methods inherited from Queue:
|
| __init__(self, maxsize=0)
|
| empty(self)
| Return True if the queue is empty, False otherwise (not reliable!).
|
| This method is likely to be removed at some point. Use qsize() == 0
| as a direct substitute, but be aware that either approach risks a race
| condition where a queue can grow before the result of empty() or
| qsize() can be used.
|
| To create code that needs to wait for all queued tasks to be
| completed, the preferred technique is to use the join() method.
|
| full(self)
| Return True if the queue is full, False otherwise (not reliable!).
|
| This method is likely to be removed at some point. Use qsize() >= n
| as a direct substitute, but be aware that either approach risks a race
| condition where a queue can shrink before the result of full() or
| qsize() can be used.
|
| get(self, block=True, timeout=None)
| Remove and return an item from the queue.
|
| If optional args 'block' is true and 'timeout' is None (the default),
| block if necessary until an item is available. If 'timeout' is
| a positive number, it blocks at most 'timeout' seconds and raises
| the Empty exception if no item was available within that time.
| Otherwise ('block' is false), return an item if one is immediately
| available, else raise the Empty exception ('timeout' is ignored
| in that case).
|
| get_nowait(self)
| Remove and return an item from the queue without blocking.
|
| Only get an item if one is immediately available. Otherwise
| raise the Empty exception.
|
| join(self)
| Blocks until all items in the Queue have been gotten and processed.
|
| The count of unfinished tasks goes up whenever an item is added to the
| queue. The count goes down whenever a consumer thread calls task_done()
| to indicate the item was retrieved and all work on it is complete.
|
| When the count of unfinished tasks drops to zero, join() unblocks.
|
| put(self, item, block=True, timeout=None)
| Put an item into the queue.
|
| If optional args 'block' is true and 'timeout' is None (the default),
| block if necessary until a free slot is available. If 'timeout' is
| a positive number, it blocks at most 'timeout' seconds and raises
| the Full exception if no free slot was available within that time.
| Otherwise ('block' is false), put an item on the queue if a free slot
| is immediately available, else raise the Full exception ('timeout'
| is ignored in that case).
|
| put_nowait(self, item)
| Put an item into the queue without blocking.
|
| Only enqueue the item if a free slot is immediately available.
| Otherwise raise the Full exception.
|
| qsize(self)
| Return the approximate size of the queue (not reliable!).
|
| task_done(self)
| Indicate that a formerly enqueued task is complete.
|
| Used by Queue consumer threads. For each get() used to fetch a task,
| a subsequent call to task_done() tells the queue that the processing
| on the task is complete.
|
| If a join() is currently blocking, it will resume when all items
| have been processed (meaning that a task_done() call was received
| for every item that had been put() into the queue).
|
| Raises a ValueError if called more times than there were items
| placed in the queue.
|
| ----------------------------------------------------------------------
| Data descriptors inherited from Queue:
|
| __dict__
| dictionary for instance variables (if defined)
|
| __weakref__
| list of weak references to the object (if defined)
>>>

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>>> from heapq import heappush, heappop, heapify
>>> items = [(3, "Clear drains"), (4, "Feed cat"), (5, "Make tea"), (1, "Solve RC tasks"), (2, "Tax return")]
>>> heapify(items)
>>> while items:
print(heappop(items))
(1, 'Solve RC tasks')
(2, 'Tax return')
(3, 'Clear drains')
(4, 'Feed cat')
(5, 'Make tea')
>>>

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>>> help('heapq')
Help on module heapq:
NAME
heapq - Heap queue algorithm (a.k.a. priority queue).
DESCRIPTION
Heaps are arrays for which a[k] <= a[2*k+1] and a[k] <= a[2*k+2] for
all k, counting elements from 0. For the sake of comparison,
non-existing elements are considered to be infinite. The interesting
property of a heap is that a[0] is always its smallest element.
Usage:
heap = [] # creates an empty heap
heappush(heap, item) # pushes a new item on the heap
item = heappop(heap) # pops the smallest item from the heap
item = heap[0] # smallest item on the heap without popping it
heapify(x) # transforms list into a heap, in-place, in linear time
item = heapreplace(heap, item) # pops and returns smallest item, and adds
# new item; the heap size is unchanged
Our API differs from textbook heap algorithms as follows:
- We use 0-based indexing. This makes the relationship between the
index for a node and the indexes for its children slightly less
obvious, but is more suitable since Python uses 0-based indexing.
- Our heappop() method returns the smallest item, not the largest.
These two make it possible to view the heap as a regular Python list
without surprises: heap[0] is the smallest item, and heap.sort()
maintains the heap invariant!
FUNCTIONS
heapify(...)
Transform list into a heap, in-place, in O(len(heap)) time.
heappop(...)
Pop the smallest item off the heap, maintaining the heap invariant.
heappush(...)
Push item onto heap, maintaining the heap invariant.
heappushpop(...)
Push item on the heap, then pop and return the smallest item
from the heap. The combined action runs more efficiently than
heappush() followed by a separate call to heappop().
heapreplace(...)
Pop and return the current smallest value, and add the new item.
This is more efficient than heappop() followed by heappush(), and can be
more appropriate when using a fixed-size heap. Note that the value
returned may be larger than item! That constrains reasonable uses of
this routine unless written as part of a conditional replacement:
if item > heap[0]:
item = heapreplace(heap, item)
merge(*iterables)
Merge multiple sorted inputs into a single sorted output.
Similar to sorted(itertools.chain(*iterables)) but returns a generator,
does not pull the data into memory all at once, and assumes that each of
the input streams is already sorted (smallest to largest).
>>> list(merge([1,3,5,7], [0,2,4,8], [5,10,15,20], [], [25]))
[0, 1, 2, 3, 4, 5, 5, 7, 8, 10, 15, 20, 25]
nlargest(n, iterable, key=None)
Find the n largest elements in a dataset.
Equivalent to: sorted(iterable, key=key, reverse=True)[:n]
nsmallest(n, iterable, key=None)
Find the n smallest elements in a dataset.
Equivalent to: sorted(iterable, key=key)[:n]
DATA
__about__ = 'Heap queues\n\n[explanation by François Pinard]\n\nH... t...
__all__ = ['heappush', 'heappop', 'heapify', 'heapreplace', 'merge', '...
FILE
c:\python32\lib\heapq.py
>>>

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PriorityQueue <- function() {
keys <<- values <<- NULL
insert <- function(key, value) {
temp <- c(keys, key)
ord <- order(temp)
keys <<- temp[ord]
values <<- c(values, list(value))[ord]
}
pop <- function() {
head <- values[[1]]
values <<- values[-1]
keys <<- keys[-1]
return(head)
}
empty <- function() length(keys) == 0
list(insert = insert, pop = pop, empty = empty)
}
pq <- PriorityQueue()
pq$insert(3, "Clear drains")
pq$insert(4, "Feed cat")
pq$insert(5, "Make tea")
pq$insert(1, "Solve RC tasks")
pq$insert(2, "Tax return")
while(!pq$empty()) {
print(pq$pop())
}

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[1] "Solve RC tasks"
[1] "Tax return"
[1] "Clear drains"
[1] "Feed cat"
[1] "Make tea"

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PriorityQueue <-
setRefClass("PriorityQueue",
fields = list(keys = "numeric", values = "list"),
methods = list(
insert = function(key,value) {
temp <- c(keys,key)
ord <- order(temp)
keys <<- temp[ord]
values <<- c(values,list(value))[ord]
},
pop = function() {
head <- values[[1]]
keys <<- keys[-1]
values <<- values[-1]
return(head)
},
empty = function() length(keys) == 0
))

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pq <- PriorityQueue$new()

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class PriorityQueueNaive
def initialize
@q = Hash.new { |h, k| h[k] = []}
@priorities = []
end
def push(priority, item)
@q[priority] << item
@priorities = @q.keys.sort
end
def pop
p = @priorities[0]
item = @q[p].shift
if @q[p].empty?
@q.delete(p)
@priorities.shift
end
item
end
def peek
if not empty?
@q[@priorities[0]][0]
end
end
def empty?
@priorities.empty?
end
def inspect
@q.inspect
end
end
test = [
[6, "drink tea"],
[3, "Clear drains"],
[4, "Feed cat"],
[5, "Make tea"],
[6, "eat biscuit"],
[1, "Solve RC tasks"],
[2, "Tax return"],
]
pq = PriorityQueueNaive.new
test.each {|pr, str| pq.push(pr, str) }
until pq.empty?
puts pq.pop
end

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sqliteconnect #mem, ":memory:"
#mem execute("CREATE TABLE queue (priority float,descr text)")
' --------------------------------------------------------------
' Insert items into the que
' --------------------------------------------------------------
#mem execute("INSERT INTO queue VALUES (3,'Clear drains')")
#mem execute("INSERT INTO queue VALUES (4,'Feed cat')")
#mem execute("INSERT INTO queue VALUES (5,'Make tea')")
#mem execute("INSERT INTO queue VALUES (1,'Solve RC tasks')")
#mem execute("INSERT INTO queue VALUES (2,'Tax return')")
'--------------- insert priority between 4 and 5 -----------------
#mem execute("INSERT INTO queue VALUES (4.5,'My Special Project')")
what$ = " -------------- Find first priority ---------------------"
mem$ = "SELECT * FROM queue ORDER BY priority LIMIT 1"
gosub [getQueue]
what$ = " -------------- Find last priority ---------------------"
mem$ = "SELECT * FROM queue ORDER BY priority desc LIMIT 1"
gosub [getQueue]
what$ = " -------------- Delete Highest Priority ---------------------"
mem$ = "DELETE FROM queue WHERE priority = (select max(q.priority) FROM queue as q)"
#mem execute(mem$)
what$ = " -------------- List Priority Sequence ---------------------"
mem$ = "SELECT * FROM queue ORDER BY priority"
gosub [getQueue]
end
[getQueue]
print what$
#mem execute(mem$)
rows = #mem ROWCOUNT()
print "Priority Description"
for i = 1 to rows
#row = #mem #nextrow()
priority = #row priority()
descr$ = #row descr$()
print priority;" ";descr$
next i
RETURN

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@ -0,0 +1,9 @@
import scala.collection.mutable.PriorityQueue
case class Task(prio:Int, text:String) extends Ordered[Task] {
def compare(that: Task)=that.prio compare this.prio
}
//test
var q=PriorityQueue[Task]() ++ Seq(Task(3, "Clear drains"), Task(4, "Feed cat"),
Task(5, "Make tea"), Task(1, "Solve RC tasks"), Task(2, "Tax return"))
while(q.nonEmpty) println(q dequeue)

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case class Task(prio:Int, text:String)
implicit def taskOrdering=new Ordering[Task] {
def compare(t1:Task, t2:Task):Int=t2.prio compare t1.prio
}

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structure TaskPriority = struct
type priority = int
val compare = Int.compare
type item = int * string
val priority : item -> int = #1
end
structure PQ = LeftPriorityQFn (TaskPriority)
;
let
val tasks = [
(3, "Clear drains"),
(4, "Feed cat"),
(5, "Make tea"),
(1, "Solve RC tasks"),
(2, "Tax return")]
val pq = foldr PQ.insert PQ.empty tasks
(* or val pq = PQ.fromList tasks *)
fun aux pq' =
case PQ.next pq' of
NONE => ()
| SOME ((prio, name), pq'') => (
print (Int.toString prio ^ ", " ^ name ^ "\n");
aux pq''
)
in
aux pq
end

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package require struct::prioqueue
set pq [struct::prioqueue]
foreach {priority task} {
3 "Clear drains"
4 "Feed cat"
5 "Make tea"
1 "Solve RC tasks"
2 "Tax return"
} {
# Insert into the priority queue
$pq put $task $priority
}
# Drain the queue, in priority-sorted order
while {[$pq size]} {
# Remove the front-most item from the priority queue
puts [$pq get]
}