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Subject: [Boost-users] astar_search_no_init
From: anilpanicker (anilpanicker_at_[hidden])
Date: 2011-07-20 08:00:43
I'm trying to compile the puzzle 8 given in this link
http://www.cs.rpi.edu/~beevek/research/astar_bgl04.pdf
using astar_search_no_init()
but I get this error "error C2106: '=' : left operand must be l-value"
I'm using VS2010. Can someone please help me
Here is my entire code
#include<boost/graph/adjacency_list.hpp>
#include<boost/graph/astar_search.hpp>
#include<iostream>
#include<vector>
#include<list>
using namespace std;
using namespace boost;
class puzzle_state_t: public vector<int>
{
public:
int m_row,m_col; // row and columns
puzzle_state_t(){}
puzzle_state_t(int r,int c): vector<int>(r*c),m_row(r),m_col(c){}
//another ctor with some iterator
template<typename IteratorType>
puzzle_state_t(int r,int c,IteratorType beg,IteratorType en):
vector<int>(beg,en)m_row(r),m_col(c){}
//find the cell in the vector
// rows are numbered 0,1,2
// cols are numbered 0,1,2
inline int cell(int r, int c) const
{
return r*m_col+c; //gives the index of vector
}
//get value of a cell
inline int get(int r, int c) const
{
int index= cell(r,c);
return operator[] (index);// returns value
}
//move between two cells
inline void move(int i,int j)
{
int tmp=operator[] (j);
operator[](j)=operator[](i);
operator[](i)=tmp;
}
//find coordinates of an offset
inline void coords(int i, int &r, int &c) const
{
r=i/m_col;
c=i%m_col;
}
friend ostream& operator <<(ostream &out, const puzzle_state_t &p)
{
for(int i = 0; i < p.m_row; ++i)
{
for(int j = 0; j < p.m_col; ++j)
{
if(p.get(i, j) > 0)
cout << p.get(i, j)<<"\t" ;
else
cout << "-"<<"\t";
}
cout << endl;
}
return out;
}
};
//1. find out the cell with zero
void generate_children(const puzzle_state_t &p, list<puzzle_state_t>
&children )
{
puzzle_state_t::const_iterator const_it= find(p.begin(),p.end(),0);
int soffset= const_it-p.begin(); //index of array
int sr,sc;
p.coords(soffset,sr,sc);// got the cell
if(sc>0)
{//mode tile to left
children.push_back(p);
children.back().move(soffset,p.cell(sr,sc-1) );
}
if(sc<p.m_col-1)
{//move to right
children.push_back(p);
children.back().move(soffset,p.cell(sr,sc+1));
}
if(sr>0)
{//move tile to above
children.push_back(p);
children.back().move(soffset,p.cell(sr-1,sc) );
}
if(sr<p.m_row-1)
{
children.push_back(p);
children.back().move(soffset,p.cell(sr+1,sc) );
}
}
//Graph and related types
//a new property tag
struct vertex_puzzle_state_t
{
typedef vertex_property_tag kind;
};
//define VertexProperties
typedef property<vertex_color_t, default_color_type,
property<vertex_rank_t, unsigned int,
property<vertex_distance_t, unsigned int,
property<vertex_predecessor_t, unsigned int,
property<vertex_puzzle_state_t, puzzle_state_t,
property<vertex_index_t,unsigned int> > > > > > VertexProperties;
//define EdgeProperties
typedef property<edge_weight_t, unsigned int> EdgeProperties;
//Define Graph_type
typedef
adjacency_list<listS,vecS,undirectedS,VertexProperties,EdgeProperties,no_property,listS>
graph_t;
typedef graph_traits<graph_t>::vertex_descriptor vertex_t;
typedef graph_traits<graph_t>::edge_descriptor edge_t;
typedef graph_traits<graph_t>::vertex_iterator vit;
typedef graph_traits<graph_t>::edge_iterator eit;
//property maps
//Named Parameter version
//IN:weight_map- length of each edge
//IN: vertex_index_map-
typedef property_map<graph_t,edge_weight_t>::type WeightMap;
typedef property_map<graph_t,vertex_index_t>:: type IndexMap;
//OUT: predecessor_map
//Out: distance_map
//OUT: rank_map
//OUT: color_map
typedef property_map<graph_t,vertex_predecessor_t>::type PredMap;
typedef property_map<graph_t,vertex_distance_t>::type DistanceMap;
typedef property_map<graph_t,vertex_rank_t>::type RankMap;
typedef property_map<graph_t,vertex_color_t>::type ColorMap;
// custom mpa
typedef property_map<graph_t,vertex_puzzle_state_t>::type StateMap;
struct found_goal{};
template<typename Vertex>
class puzzle_visitor : public boost::default_astar_visitor
{
private:
list<vertex_t> &m_verticesList;
puzzle_state_t &m_goal_state;
public:
puzzle_visitor(list<vertex_t> & vlist,puzzle_state_t &goal):
m_verticesList(vlist),m_goal_state(goal){}
template <class Graph>
void examine_vertex(Vertex u, Graph& g)
{// add states and break if it reached goal state
StateMap smap= get(vertex_puzzle_state_t,g);
WeightMap wmap= get(edge_weight_t,g);
ColorMap cmap= get(vertex_color_t,g);
if(smap[u]==m_goal)
throw found_goal();
//add successors of state
list<puzzle_state_t> new_vertices;
generate_children(smap[u],new_vertices );
list<puzzle_state_t>::iterator it;
for(it=new_vertices.begin(); it != new_vertices.end(); ++it)
{
//make sure this is a new state
vit vi,vend;
for(tie(vi,vend)=vertices(g); vi != vend; ++vi)
{
if(*vi== *it )
break;
}
if(vi != vend)//not new
{
pair<edge_t,bool> eAdded=add_edge(u,*vi,g);
if(eAdded)
put(wmap,eAdded.first);
}else
{//new
Vertex v= add_vertex(g);
put(cmap,v,white_color);
pair<edge_t,bool> eAdded=add_edge(u,v,g);
if(eAdded)
put(wmap,eAdded.first)
}
}
}
};
// the distance huristics
// sum of (row_goal-row_current) + (col_goal-col_current) for all tiles
class manhattan_dist: public astar_heuristic<graph_t,unsigned int>
{
puzzle_state_t &m_goal_state;
StateMap m_smap;
inline unsigned int myabs(int i)
{
return static_cast<unsigned int> (i<0 ? -i:i);
}
public:
manhattan_dist(puzzle_state_t &goal, StateMap &smap):
m_goal_state(goal),m_smap(smap){}
unsigned int operator() (vertex_t u)
{
unsigned int md=0;
puzzle_state_t::const_iterator it_i,it_j;
int ir,ic,jr,jc;
for(it_i=m_smap[u].begin(); it_i != m_smap[u].end(); ++it_i)
{
it_j=find(m_goal_state.begin(),m_goal_state.end(),*it_i);
m_smap[u].coords(it_i - m_smap[u].begin(), ir, ic);
m_goal_state.coords(it_j - m_goal_state.begin(), jr, jc);
md += myabs(jr - ir) + myabs(jc - ic);
}
return md;
}
};
int main()
{
//set up start_state and goal_puzzle state
graph_t g;
list<vertex_t> examine_seq;
//maps
//IN
IndexMap indexMap= get(vertex_index,g);
WeightMap wmap= get(edge_weight_t (),g);
//OUT
DistanceMap dmap= get(vertex_distance,g);
ColorMap cmap= get(vertex_color,g);
PredMap predessors= get(vertex_predecessor,g);
RankMap rmap= get(vertex_rank,g);
//custom map
StateMap smap= get(vertex_puzzle_state_t (),g);
//add first vertex
vertex_t start = add_vertex(g);
put(cmap,start,white_color);
put(dmap,start,0);
//
int sstart []= {1,3,4,8,0,2,7,6,5};
int sgoal []= {1,2,3,8,0,4,7,6,5};
//smap[start]= puzzle_state_t(3,3,&sstart[0],&sstart[9] );
puzzle_state_t p(3,3);
puzzle_state_t goal(3,3);
for(int i=0; i<9; ++i)
{
p[i]=sstart[i];
goal[i]=sgoal[i];
}
smap[start]= p;
cout<<"Start state"<<endl<<endl;
cout<< smap[start]<<endl;
cout<<"Goal state"<<endl<<endl;
cout<<goal<<endl;
//
puzzle_visitor<vertex_t> vis(examine_seq,goal);
manhattan_dist m_dist_heuristic(goal,smap);
astar_search_no_init(g,
start, //source
m_dist_heuristic,// heuristic
visitor(vis).// vis
vertex_index_map(indexMap).// IN: index_map
weight_map(wmap).//IN: weight_map
predecessor_map(predessors).//OUT
distance_map(dmap).//OUT
color_map(cmap).//OUT
rank_map(rmap)//OUT
);
return 0;
}
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