(svn r13450) [NoAI] -Change [API CHANGE]: renamed library category 'sets' to 'queue', as it represents more what the implementations do
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/bin/ai/library/queue/binary_heap/library.nut Tue Jun 10 19:05:12 2008 +0000
@@ -0,0 +1,12 @@
+/* $Id$ */
+
+class BinaryHeap extends AILibrary {
+ function GetAuthor() { return "OpenTTD NoAI Developers Team"; }
+ function GetName() { return "Binary Heap"; }
+ function GetDescription() { return "An implementation of a Binary Heap"; }
+ function GetVersion() { return 1; }
+ function GetDate() { return "2008-06-10"; }
+ function CreateInstance() { return "BinaryHeap"; }
+}
+
+RegisterLibrary(BinaryHeap());
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/bin/ai/library/queue/binary_heap/main.nut Tue Jun 10 19:05:12 2008 +0000
@@ -0,0 +1,130 @@
+/* $Id$ */
+
+/**
+ * Binary Heap.
+ * Peek and Remove always return the current lowest value in the list.
+ * Sort is done on insertion and on deletion.
+ */
+class BinaryHeap
+{
+ _queue = null;
+ _count = 0;
+
+ constructor() {
+ this._queue = [];
+ }
+
+ /**
+ * Insert a new entry in the list.
+ * The complexity of this operation is O(ln n).
+ * @param item The item to add to the list.
+ * @param priority The priority this item has.
+ */
+ function Insert(item, priority);
+
+ /**
+ * Pop the first entry of the list.
+ * This is always the item with the lowest priority.
+ * The complexity of this operation is O(ln n).
+ * @return The item of the entry with the lowest priority.
+ */
+ function Pop();
+
+ /**
+ * Peek the first entry of the list.
+ * This is always the item with the lowest priority.
+ * The complexity of this operation is O(1).
+ * @return The item of the entry with the lowest priority.
+ */
+ function Peek();
+
+ /**
+ * Get the amount of current items in the list.
+ * The complexity of this operation is O(1).
+ * @return The amount of items currently in the list.
+ */
+ function Count();
+
+ /**
+ * Check if an item exists in the list.
+ * The complexity of this operation is O(n).
+ * @param item The item to check for.
+ * @return True if the item is already in the list.
+ */
+ function Exists(item);
+}
+
+function BinaryHeap::Insert(item, priority)
+{
+ /* Append dummy entry */
+ this._queue.append(0);
+ this._count++;
+
+ local hole;
+ /* Find the point of insertion */
+ for (hole = this._count - 1; hole > 0 && priority < this._queue[hole / 2][1]; hole /= 2)
+ this._queue[hole] = this._queue[hole / 2];
+ /* Insert new pair */
+ this._queue[hole] = [item, priority];
+
+ return true;
+}
+
+function BinaryHeap::Pop()
+{
+ if (this._count == 0) return null;
+
+ local node = this._queue[0];
+ /* Remove the item from the list by putting the last value on top */
+ this._queue[0] = this._queue[this._count - 1];
+ this._queue.pop();
+ this._count--;
+ /* Bubble down the last value to correct the tree again */
+ this._BubbleDown();
+
+ return node[0];
+}
+
+function BinaryHeap::Peek()
+{
+ if (this._count == 0) return null;
+
+ return this._queue[0][0];
+}
+
+function BinaryHeap::Count()
+{
+ return this._count;
+}
+
+function BinaryHeap::Exists(item)
+{
+ /* Brute-force find the item (there is no faster way, as we don't have the priority number) */
+ foreach (node in this._queue) {
+ if (node[0] == item) return true;
+ }
+
+ return false;
+}
+
+
+
+function BinaryHeap::_BubbleDown()
+{
+ if (this._count == 0) return;
+
+ local hole = 1;
+ local tmp = this._queue[0];
+
+ /* Start switching parent and child until the tree is restored */
+ while (hole * 2 <= this._count) {
+ local child = hole * 2;
+ if (child != this._count && this._queue[child][1] < this._queue[child - 1][1]) child++;
+ if (this._queue[child - 1][1] >= tmp[1]) break;
+
+ this._queue[hole - 1] = this._queue[child - 1];
+ hole = child;
+ }
+ /* The top value is now at his new place */
+ this._queue[hole - 1] = tmp;
+}
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/bin/ai/library/queue/priority_queue/library.nut Tue Jun 10 19:05:12 2008 +0000
@@ -0,0 +1,12 @@
+/* $Id$ */
+
+class PriorityQueue extends AILibrary {
+ function GetAuthor() { return "OpenTTD NoAI Developers Team"; }
+ function GetName() { return "Priority Queue"; }
+ function GetDescription() { return "An implementation of a Priority Queue"; }
+ function GetVersion() { return 2; }
+ function GetDate() { return "2008-06-10"; }
+ function CreateInstance() { return "PriorityQueue"; }
+}
+
+RegisterLibrary(PriorityQueue());
--- /dev/null Thu Jan 01 00:00:00 1970 +0000
+++ b/bin/ai/library/queue/priority_queue/main.nut Tue Jun 10 19:05:12 2008 +0000
@@ -0,0 +1,114 @@
+/* $Id$ */
+
+/**
+ * Priority Queue
+ * Peek and Remove always return the current lowest value in the list.
+ * Sort is done on insertion only.
+ */
+class PriorityQueue {
+ _queue = null;
+ _count = 0;
+
+ constructor()
+ {
+ this._count = 0;
+ this._queue = [];
+ }
+
+ /**
+ * Insert a new entry in the list.
+ * The complexity of this operation is O(n).
+ * @param item The item to add to the list.
+ * @param priority The priority this item has.
+ */
+ function Insert(item, priority);
+
+ /**
+ * Pop the first entry of the list.
+ * This is always the item with the lowest priority.
+ * The complexity of this operation is O(1).
+ * @return The item of the entry with the lowest priority.
+ */
+ function Pop();
+
+ /**
+ * Peek the first entry of the list.
+ * This is always the item with the lowest priority.
+ * The complexity of this operation is O(1).
+ * @return The item of the entry with the lowest priority.
+ */
+ function Peek();
+
+ /**
+ * Get the amount of current items in the list.
+ * The complexity of this operation is O(1).
+ * @return The amount of items currently in the list.
+ */
+ function Count();
+
+ /**
+ * Check if an item exists in the list.
+ * The complexity of this operation is O(n).
+ * @param item The item to check for.
+ * @return True if the item is already in the list.
+ */
+ function Exists(item);
+}
+
+function PriorityQueue::Insert(item, priority)
+{
+ /* Append dummy entry */
+ this._queue.append(0);
+ this._count++;
+
+ local i;
+ /* Find the point of insertion */
+ for (i = this._count - 2; i >= 0; i--) {
+ if (priority > this._queue[i][1]) {
+ /* All items bigger move one place to the right */
+ this._queue[i + 1] = this._queue[i];
+ } else if (item == this._queue[i][0]) {
+ /* Same item, ignore insertion */
+ return false;
+ } else {
+ /* Found place to insert at */
+ break;
+ }
+ }
+ /* Insert new pair */
+ this._queue[i + 1] = [item, priority]
+
+ return true;
+}
+
+function PriorityQueue::Pop()
+{
+ if (this._count == 0) return null;
+
+ local node = this._queue.pop();
+ this._count--;
+
+ return node[0];
+}
+
+function PriorityQueue::Peek()
+{
+ if (this._count == 0) return null;
+
+ return this._queue[this._count - 1][0];
+}
+
+function PriorityQueue::Count()
+{
+ return this._count;
+}
+
+function PriorityQueue::Exists()
+{
+ /* Brute-force find the item (there is no faster way, as we don't have the priority number) */
+ foreach (node in this._queue) {
+ if (node[0] == item) return true;
+ }
+
+ return false;
+}
--- a/bin/ai/library/sets/binary_heap/library.nut Tue Jun 10 18:59:10 2008 +0000
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,12 +0,0 @@
-/* $Id$ */
-
-class BinaryHeap extends AILibrary {
- function GetAuthor() { return "OpenTTD NoAI Developers Team"; }
- function GetName() { return "Binary Heap"; }
- function GetDescription() { return "An implementation of a Binary Heap"; }
- function GetVersion() { return 1; }
- function GetDate() { return "2008-06-10"; }
- function CreateInstance() { return "BinaryHeap"; }
-}
-
-RegisterLibrary(BinaryHeap());
--- a/bin/ai/library/sets/binary_heap/main.nut Tue Jun 10 18:59:10 2008 +0000
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,130 +0,0 @@
-/* $Id$ */
-
-/**
- * Binary Heap.
- * Peek and Remove always return the current lowest value in the list.
- * Sort is done on insertion and on deletion.
- */
-class BinaryHeap
-{
- _queue = null;
- _count = 0;
-
- constructor() {
- this._queue = [];
- }
-
- /**
- * Insert a new entry in the list.
- * The complexity of this operation is O(ln n).
- * @param item The item to add to the list.
- * @param priority The priority this item has.
- */
- function Insert(item, priority);
-
- /**
- * Pop the first entry of the list.
- * This is always the item with the lowest priority.
- * The complexity of this operation is O(ln n).
- * @return The item of the entry with the lowest priority.
- */
- function Pop();
-
- /**
- * Peek the first entry of the list.
- * This is always the item with the lowest priority.
- * The complexity of this operation is O(1).
- * @return The item of the entry with the lowest priority.
- */
- function Peek();
-
- /**
- * Get the amount of current items in the list.
- * The complexity of this operation is O(1).
- * @return The amount of items currently in the list.
- */
- function Count();
-
- /**
- * Check if an item exists in the list.
- * The complexity of this operation is O(n).
- * @param item The item to check for.
- * @return True if the item is already in the list.
- */
- function Exists(item);
-}
-
-function BinaryHeap::Insert(item, priority)
-{
- /* Append dummy entry */
- this._queue.append(0);
- this._count++;
-
- local hole;
- /* Find the point of insertion */
- for (hole = this._count - 1; hole > 0 && priority < this._queue[hole / 2][1]; hole /= 2)
- this._queue[hole] = this._queue[hole / 2];
- /* Insert new pair */
- this._queue[hole] = [item, priority];
-
- return true;
-}
-
-function BinaryHeap::Pop()
-{
- if (this._count == 0) return null;
-
- local node = this._queue[0];
- /* Remove the item from the list by putting the last value on top */
- this._queue[0] = this._queue[this._count - 1];
- this._queue.pop();
- this._count--;
- /* Bubble down the last value to correct the tree again */
- this._BubbleDown();
-
- return node[0];
-}
-
-function BinaryHeap::Peek()
-{
- if (this._count == 0) return null;
-
- return this._queue[0][0];
-}
-
-function BinaryHeap::Count()
-{
- return this._count;
-}
-
-function BinaryHeap::Exists(item)
-{
- /* Brute-force find the item (there is no faster way, as we don't have the priority number) */
- foreach (node in this._queue) {
- if (node[0] == item) return true;
- }
-
- return false;
-}
-
-
-
-function BinaryHeap::_BubbleDown()
-{
- if (this._count == 0) return;
-
- local hole = 1;
- local tmp = this._queue[0];
-
- /* Start switching parent and child until the tree is restored */
- while (hole * 2 <= this._count) {
- local child = hole * 2;
- if (child != this._count && this._queue[child][1] < this._queue[child - 1][1]) child++;
- if (this._queue[child - 1][1] >= tmp[1]) break;
-
- this._queue[hole - 1] = this._queue[child - 1];
- hole = child;
- }
- /* The top value is now at his new place */
- this._queue[hole - 1] = tmp;
-}
--- a/bin/ai/library/sets/priority_queue/library.nut Tue Jun 10 18:59:10 2008 +0000
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,12 +0,0 @@
-/* $Id$ */
-
-class PriorityQueue extends AILibrary {
- function GetAuthor() { return "OpenTTD NoAI Developers Team"; }
- function GetName() { return "Priority Queue"; }
- function GetDescription() { return "An implementation of a Priority Queue"; }
- function GetVersion() { return 2; }
- function GetDate() { return "2008-06-10"; }
- function CreateInstance() { return "PriorityQueue"; }
-}
-
-RegisterLibrary(PriorityQueue());
--- a/bin/ai/library/sets/priority_queue/main.nut Tue Jun 10 18:59:10 2008 +0000
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,114 +0,0 @@
-/* $Id$ */
-
-/**
- * Priority Queue
- * Peek and Remove always return the current lowest value in the list.
- * Sort is done on insertion only.
- */
-class PriorityQueue {
- _queue = null;
- _count = 0;
-
- constructor()
- {
- this._count = 0;
- this._queue = [];
- }
-
- /**
- * Insert a new entry in the list.
- * The complexity of this operation is O(n).
- * @param item The item to add to the list.
- * @param priority The priority this item has.
- */
- function Insert(item, priority);
-
- /**
- * Pop the first entry of the list.
- * This is always the item with the lowest priority.
- * The complexity of this operation is O(1).
- * @return The item of the entry with the lowest priority.
- */
- function Pop();
-
- /**
- * Peek the first entry of the list.
- * This is always the item with the lowest priority.
- * The complexity of this operation is O(1).
- * @return The item of the entry with the lowest priority.
- */
- function Peek();
-
- /**
- * Get the amount of current items in the list.
- * The complexity of this operation is O(1).
- * @return The amount of items currently in the list.
- */
- function Count();
-
- /**
- * Check if an item exists in the list.
- * The complexity of this operation is O(n).
- * @param item The item to check for.
- * @return True if the item is already in the list.
- */
- function Exists(item);
-}
-
-function PriorityQueue::Insert(item, priority)
-{
- /* Append dummy entry */
- this._queue.append(0);
- this._count++;
-
- local i;
- /* Find the point of insertion */
- for (i = this._count - 2; i >= 0; i--) {
- if (priority > this._queue[i][1]) {
- /* All items bigger move one place to the right */
- this._queue[i + 1] = this._queue[i];
- } else if (item == this._queue[i][0]) {
- /* Same item, ignore insertion */
- return false;
- } else {
- /* Found place to insert at */
- break;
- }
- }
- /* Insert new pair */
- this._queue[i + 1] = [item, priority]
-
- return true;
-}
-
-function PriorityQueue::Pop()
-{
- if (this._count == 0) return null;
-
- local node = this._queue.pop();
- this._count--;
-
- return node[0];
-}
-
-function PriorityQueue::Peek()
-{
- if (this._count == 0) return null;
-
- return this._queue[this._count - 1][0];
-}
-
-function PriorityQueue::Count()
-{
- return this._count;
-}
-
-function PriorityQueue::Exists()
-{
- /* Brute-force find the item (there is no faster way, as we don't have the priority number) */
- foreach (node in this._queue) {
- if (node[0] == item) return true;
- }
-
- return false;
-}
--- a/bin/ai/regression/regression.nut Tue Jun 10 18:59:10 2008 +0000
+++ b/bin/ai/regression/regression.nut Tue Jun 10 19:05:12 2008 +0000
@@ -1,5 +1,5 @@
-import("sets.priority_queue", "PQ", 2);
-import("sets.binary_heap", "BH", 1);
+import("queue.priority_queue", "PQ", 2);
+import("queue.binary_heap", "BH", 1);
class Regression extends AIController {
function Start();