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stlastar.h
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stlastar.h
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/*
A* Algorithm Implementation using STL is
Copyright (C)2001-2005 Justin Heyes-Jones
Permission is given by the author to freely redistribute and
include this code in any program as long as this credit is
given where due.
COVERED CODE IS PROVIDED UNDER THIS LICENSE ON AN "AS IS" BASIS,
WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED,
INCLUDING, WITHOUT LIMITATION, WARRANTIES THAT THE COVERED CODE
IS FREE OF DEFECTS, MERCHANTABLE, FIT FOR A PARTICULAR PURPOSE
OR NON-INFRINGING. THE ENTIRE RISK AS TO THE QUALITY AND
PERFORMANCE OF THE COVERED CODE IS WITH YOU. SHOULD ANY COVERED
CODE PROVE DEFECTIVE IN ANY RESPECT, YOU (NOT THE INITIAL
DEVELOPER OR ANY OTHER CONTRIBUTOR) ASSUME THE COST OF ANY
NECESSARY SERVICING, REPAIR OR CORRECTION. THIS DISCLAIMER OF
WARRANTY CONSTITUTES AN ESSENTIAL PART OF THIS LICENSE. NO USE
OF ANY COVERED CODE IS AUTHORIZED HEREUNDER EXCEPT UNDER
THIS DISCLAIMER.
Use at your own risk!
*/
// used for text debugging
#include <iostream>
#include <stdio.h>
//#include <conio.h>
#include <assert.h>
// stl includes
#include <algorithm>
#include <set>
#include <vector>
using namespace std;
// fast fixed size memory allocator, used for fast node memory management
#include "fsa.h"
// Fixed size memory allocator can be disabled to compare performance
// Uses std new and delete instead if you turn it off
#define USE_FSA_MEMORY 1
// disable warning that debugging information has lines that are truncated
// occurs in stl headers
#pragma warning( disable : 4786 )
// The AStar search class. UserState is the users state space type
template <class UserState> class AStarSearch
{
public: // data
enum
{
SEARCH_STATE_NOT_INITIALISED,
SEARCH_STATE_SEARCHING,
SEARCH_STATE_SUCCEEDED,
SEARCH_STATE_FAILED,
SEARCH_STATE_OUT_OF_MEMORY,
SEARCH_STATE_INVALID
};
// A node represents a possible state in the search
// The user provided state type is included inside this type
public:
class Node
{
public:
Node *parent; // used during the search to record the parent of successor nodes
Node *child; // used after the search for the application to view the search in reverse
float g; // cost of this node + it's predecessors
float h; // heuristic estimate of distance to goal
float f; // sum of cumulative cost of predecessors and self and heuristic
Node() :
parent( 0 ),
child( 0 ),
g( 0.0f ),
h( 0.0f ),
f( 0.0f )
{
}
UserState m_UserState;
};
// For sorting the heap the STL needs compare function that lets us compare
// the f value of two nodes
class HeapCompare_f
{
public:
bool operator() ( const Node *x, const Node *y ) const
{
return x->f > y->f;
}
};
public: // methods
// constructor just initialises private data
AStarSearch( int MaxNodes = 1000 ) :
m_AllocateNodeCount(0),
#if USE_FSA_MEMORY
m_FixedSizeAllocator( MaxNodes ),
#endif
m_State( SEARCH_STATE_NOT_INITIALISED ),
m_CurrentSolutionNode( NULL ),
m_CancelRequest( false )
{
}
// call at any time to cancel the search and free up all the memory
void CancelSearch()
{
m_CancelRequest = true;
}
// Set Start and goal states
void SetStartAndGoalStates( UserState &Start, UserState &Goal )
{
m_CancelRequest = false;
m_Start = AllocateNode();
m_Goal = AllocateNode();
assert((m_Start != NULL && m_Goal != NULL));
m_Start->m_UserState = Start;
m_Goal->m_UserState = Goal;
m_State = SEARCH_STATE_SEARCHING;
// Initialise the AStar specific parts of the Start Node
// The user only needs fill out the state information
m_Start->g = 0;
m_Start->h = m_Start->m_UserState.GoalDistanceEstimate( m_Goal->m_UserState );
m_Start->f = m_Start->g + m_Start->h;
m_Start->parent = 0;
// Push the start node on the Open list
m_OpenList.push_back( m_Start ); // heap now unsorted
// Sort back element into heap
push_heap( m_OpenList.begin(), m_OpenList.end(), HeapCompare_f() );
// Initialise counter for search steps
m_Steps = 0;
}
// Advances search one step
unsigned int SearchStep()
{
// Firstly break if the user has not initialised the search
assert( (m_State > SEARCH_STATE_NOT_INITIALISED) &&
(m_State < SEARCH_STATE_INVALID) );
// Next I want it to be safe to do a searchstep once the search has succeeded...
if( (m_State == SEARCH_STATE_SUCCEEDED) ||
(m_State == SEARCH_STATE_FAILED)
)
{
return m_State;
}
// Failure is defined as emptying the open list as there is nothing left to
// search...
// New: Allow user abort
if( m_OpenList.empty() || m_CancelRequest )
{
FreeAllNodes();
m_State = SEARCH_STATE_FAILED;
return m_State;
}
// Incremement step count
m_Steps ++;
// Pop the best node (the one with the lowest f)
Node *n = m_OpenList.front(); // get pointer to the node
pop_heap( m_OpenList.begin(), m_OpenList.end(), HeapCompare_f() );
m_OpenList.pop_back();
// Check for the goal, once we pop that we're done
if( n->m_UserState.IsGoal( m_Goal->m_UserState ) )
{
// The user is going to use the Goal Node he passed in
// so copy the parent pointer of n
m_Goal->parent = n->parent;
// A special case is that the goal was passed in as the start state
// so handle that here
if( false == n->m_UserState.IsSameState( m_Start->m_UserState ) )
{
FreeNode( n );
// set the child pointers in each node (except Goal which has no child)
Node *nodeChild = m_Goal;
Node *nodeParent = m_Goal->parent;
do
{
nodeParent->child = nodeChild;
nodeChild = nodeParent;
nodeParent = nodeParent->parent;
}
while( nodeChild != m_Start ); // Start is always the first node by definition
}
// delete nodes that aren't needed for the solution
FreeUnusedNodes();
m_State = SEARCH_STATE_SUCCEEDED;
return m_State;
}
else // not goal
{
// We now need to generate the successors of this node
// The user helps us to do this, and we keep the new nodes in
// m_Successors ...
m_Successors.clear(); // empty vector of successor nodes to n
// User provides this functions and uses AddSuccessor to add each successor of
// node 'n' to m_Successors
bool ret = n->m_UserState.GetSuccessors( this, n->parent ? &n->parent->m_UserState : NULL );
if( !ret )
{
typename vector< Node * >::iterator successor;
// free the nodes that may previously have been added
for( successor = m_Successors.begin(); successor != m_Successors.end(); successor ++ )
{
FreeNode( (*successor) );
}
m_Successors.clear(); // empty vector of successor nodes to n
// free up everything else we allocated
FreeAllNodes();
m_State = SEARCH_STATE_OUT_OF_MEMORY;
return m_State;
}
// Now handle each successor to the current node ...
for( typename vector< Node * >::iterator successor = m_Successors.begin(); successor != m_Successors.end(); successor ++ )
{
// The g value for this successor ...
float newg = n->g + n->m_UserState.GetCost( (*successor)->m_UserState );
// Now we need to find whether the node is on the open or closed lists
// If it is but the node that is already on them is better (lower g)
// then we can forget about this successor
// First linear search of open list to find node
typename vector< Node * >::iterator openlist_result;
for( openlist_result = m_OpenList.begin(); openlist_result != m_OpenList.end(); openlist_result ++ )
{
if( (*openlist_result)->m_UserState.IsSameState( (*successor)->m_UserState ) )
{
break;
}
}
if( openlist_result != m_OpenList.end() )
{
// we found this state on open
if( (*openlist_result)->g <= newg )
{
FreeNode( (*successor) );
// the one on Open is cheaper than this one
continue;
}
}
typename vector< Node * >::iterator closedlist_result;
for( closedlist_result = m_ClosedList.begin(); closedlist_result != m_ClosedList.end(); closedlist_result ++ )
{
if( (*closedlist_result)->m_UserState.IsSameState( (*successor)->m_UserState ) )
{
break;
}
}
if( closedlist_result != m_ClosedList.end() )
{
// we found this state on closed
if( (*closedlist_result)->g <= newg )
{
// the one on Closed is cheaper than this one
FreeNode( (*successor) );
continue;
}
}
// This node is the best node so far with this particular state
// so lets keep it and set up its AStar specific data ...
(*successor)->parent = n;
(*successor)->g = newg;
(*successor)->h = (*successor)->m_UserState.GoalDistanceEstimate( m_Goal->m_UserState );
(*successor)->f = (*successor)->g + (*successor)->h;
// Remove successor from closed if it was on it
if( closedlist_result != m_ClosedList.end() )
{
// remove it from Closed
FreeNode( (*closedlist_result) );
m_ClosedList.erase( closedlist_result );
// Fix thanks to ...
// Greg Douglas <[email protected]>
// who noticed that this code path was incorrect
// Here we have found a new state which is already CLOSED
// anus
}
// Update old version of this node
if( openlist_result != m_OpenList.end() )
{
FreeNode( (*openlist_result) );
m_OpenList.erase( openlist_result );
// re-make the heap
// make_heap rather than sort_heap is an essential bug fix
// thanks to Mike Ryynanen for pointing this out and then explaining
// it in detail. sort_heap called on an invalid heap does not work
make_heap( m_OpenList.begin(), m_OpenList.end(), HeapCompare_f() );
}
// heap now unsorted
m_OpenList.push_back( (*successor) );
// sort back element into heap
push_heap( m_OpenList.begin(), m_OpenList.end(), HeapCompare_f() );
}
// push n onto Closed, as we have expanded it now
m_ClosedList.push_back( n );
} // end else (not goal so expand)
return m_State; // Succeeded bool is false at this point.
}
// User calls this to add a successor to a list of successors
// when expanding the search frontier
bool AddSuccessor( UserState &State )
{
Node *node = AllocateNode();
if( node )
{
node->m_UserState = State;
m_Successors.push_back( node );
return true;
}
return false;
}
// Free the solution nodes
// This is done to clean up all used Node memory when you are done with the
// search
void FreeSolutionNodes()
{
Node *n = m_Start;
if( m_Start->child )
{
do
{
Node *del = n;
n = n->child;
FreeNode( del );
del = NULL;
} while( n != m_Goal );
FreeNode( n ); // Delete the goal
}
else
{
// if the start node is the solution we need to just delete the start and goal
// nodes
FreeNode( m_Start );
FreeNode( m_Goal );
}
}
// Functions for traversing the solution
// Get start node
UserState *GetSolutionStart()
{
m_CurrentSolutionNode = m_Start;
if( m_Start )
{
return &m_Start->m_UserState;
}
else
{
return NULL;
}
}
// Get next node
UserState *GetSolutionNext()
{
if( m_CurrentSolutionNode )
{
if( m_CurrentSolutionNode->child )
{
Node *child = m_CurrentSolutionNode->child;
m_CurrentSolutionNode = m_CurrentSolutionNode->child;
return &child->m_UserState;
}
}
return NULL;
}
// Get end node
UserState *GetSolutionEnd()
{
m_CurrentSolutionNode = m_Goal;
if( m_Goal )
{
return &m_Goal->m_UserState;
}
else
{
return NULL;
}
}
// Step solution iterator backwards
UserState *GetSolutionPrev()
{
if( m_CurrentSolutionNode )
{
if( m_CurrentSolutionNode->parent )
{
Node *parent = m_CurrentSolutionNode->parent;
m_CurrentSolutionNode = m_CurrentSolutionNode->parent;
return &parent->m_UserState;
}
}
return NULL;
}
// For educational use and debugging it is useful to be able to view
// the open and closed list at each step, here are two functions to allow that.
UserState *GetOpenListStart()
{
float f,g,h;
return GetOpenListStart( f,g,h );
}
UserState *GetOpenListStart( float &f, float &g, float &h )
{
iterDbgOpen = m_OpenList.begin();
if( iterDbgOpen != m_OpenList.end() )
{
f = (*iterDbgOpen)->f;
g = (*iterDbgOpen)->g;
h = (*iterDbgOpen)->h;
return &(*iterDbgOpen)->m_UserState;
}
return NULL;
}
UserState *GetOpenListNext()
{
float f,g,h;
return GetOpenListNext( f,g,h );
}
UserState *GetOpenListNext( float &f, float &g, float &h )
{
iterDbgOpen++;
if( iterDbgOpen != m_OpenList.end() )
{
f = (*iterDbgOpen)->f;
g = (*iterDbgOpen)->g;
h = (*iterDbgOpen)->h;
return &(*iterDbgOpen)->m_UserState;
}
return NULL;
}
UserState *GetClosedListStart()
{
float f,g,h;
return GetClosedListStart( f,g,h );
}
UserState *GetClosedListStart( float &f, float &g, float &h )
{
iterDbgClosed = m_ClosedList.begin();
if( iterDbgClosed != m_ClosedList.end() )
{
f = (*iterDbgClosed)->f;
g = (*iterDbgClosed)->g;
h = (*iterDbgClosed)->h;
return &(*iterDbgClosed)->m_UserState;
}
return NULL;
}
UserState *GetClosedListNext()
{
float f,g,h;
return GetClosedListNext( f,g,h );
}
UserState *GetClosedListNext( float &f, float &g, float &h )
{
iterDbgClosed++;
if( iterDbgClosed != m_ClosedList.end() )
{
f = (*iterDbgClosed)->f;
g = (*iterDbgClosed)->g;
h = (*iterDbgClosed)->h;
return &(*iterDbgClosed)->m_UserState;
}
return NULL;
}
// Get the number of steps
int GetStepCount() { return m_Steps; }
void EnsureMemoryFreed()
{
#if USE_FSA_MEMORY
assert(m_AllocateNodeCount == 0);
#endif
}
private: // methods
// This is called when a search fails or is cancelled to free all used
// memory
void FreeAllNodes()
{
// iterate open list and delete all nodes
typename vector< Node * >::iterator iterOpen = m_OpenList.begin();
while( iterOpen != m_OpenList.end() )
{
Node *n = (*iterOpen);
FreeNode( n );
iterOpen ++;
}
m_OpenList.clear();
// iterate closed list and delete unused nodes
typename vector< Node * >::iterator iterClosed;
for( iterClosed = m_ClosedList.begin(); iterClosed != m_ClosedList.end(); iterClosed ++ )
{
Node *n = (*iterClosed);
FreeNode( n );
}
m_ClosedList.clear();
// delete the goal
FreeNode(m_Goal);
}
// This call is made by the search class when the search ends. A lot of nodes may be
// created that are still present when the search ends. They will be deleted by this
// routine once the search ends
void FreeUnusedNodes()
{
// iterate open list and delete unused nodes
typename vector< Node * >::iterator iterOpen = m_OpenList.begin();
while( iterOpen != m_OpenList.end() )
{
Node *n = (*iterOpen);
if( !n->child )
{
FreeNode( n );
n = NULL;
}
iterOpen ++;
}
m_OpenList.clear();
// iterate closed list and delete unused nodes
typename vector< Node * >::iterator iterClosed;
for( iterClosed = m_ClosedList.begin(); iterClosed != m_ClosedList.end(); iterClosed ++ )
{
Node *n = (*iterClosed);
if( !n->child )
{
FreeNode( n );
n = NULL;
}
}
m_ClosedList.clear();
}
// Node memory management
Node *AllocateNode()
{
#if !USE_FSA_MEMORY
Node *p = new Node;
return p;
#else
Node *address = m_FixedSizeAllocator.alloc();
if( !address )
{
return NULL;
}
m_AllocateNodeCount ++;
Node *p = new (address) Node;
return p;
#endif
}
void FreeNode( Node *node )
{
m_AllocateNodeCount --;
#if !USE_FSA_MEMORY
delete node;
#else
m_FixedSizeAllocator.free( node );
#endif
}
private: // data
// Heap (simple vector but used as a heap, cf. Steve Rabin's game gems article)
vector< Node *> m_OpenList;
// Closed list is a vector.
vector< Node * > m_ClosedList;
// Successors is a vector filled out by the user each type successors to a node
// are generated
vector< Node * > m_Successors;
// State
unsigned int m_State;
// Counts steps
int m_Steps;
// Start and goal state pointers
Node *m_Start;
Node *m_Goal;
Node *m_CurrentSolutionNode;
#if USE_FSA_MEMORY
// Memory
FixedSizeAllocator<Node> m_FixedSizeAllocator;
#endif
//Debug : need to keep these two iterators around
// for the user Dbg functions
typename vector< Node * >::iterator iterDbgOpen;
typename vector< Node * >::iterator iterDbgClosed;
// debugging : count memory allocation and free's
int m_AllocateNodeCount;
bool m_CancelRequest;
};