function stochastichillPathfind(grid, start, end, allowDiag, hFn) {
const h = hFn || HEURISTICS.manhattan;
const prev = new Map();
let r = start[0];
let c = start[1];
for (let step = 0; step < grid.length * grid[0].length; step++) {
visitNode(r, c);
if (r === end[0] && c === end[1]) {
reconstructPath(prev, start, end);
return;
}
const neighbors = getNeighbors(grid, r, c, allowDiag);
const better = neighbors.filter(([nr, nc]) => h(nr, nc, end[0], end[1]) < h(r, c, end[0], end[1]));
if (!better.length) break;
const __pattern1 = better[Math.floor(Math.random() * better.length)];
const nr = __pattern1[0];
const nc = __pattern1[1];
prev.set(key(nr, nc), [r, c]);
r = nr;
c = nc;
pushFrontier(r, c);
}
reportNoPath();
} def stochastichillPathfind(grid, start, end, allowDiag, hFn):
h = (hFn or HEURISTICS.manhattan)
prev = Map()
r = start[0]
c = start[1]
for step in range((grid.length * grid[0].length)):
visitNode(r, c)
if ((r == end[0]) and (c == end[1])):
reconstructPath(prev, start, end)
return
neighbors = getNeighbors(grid, r, c, allowDiag)
better = [_v for _v in neighbors if (h(nr, nc, end[0], end[1]) < h(r, c, end[0], end[1]))]
if not better.length:
break
__pattern1 = better[int((random() * better.length))]
nr = __pattern1[0]
nc = __pattern1[1]
prev.set(key(nr, nc), [r, c])
r = nr
c = nc
pushFrontier(r, c)
reportNoPath() #include <vector>
#include <algorithm>
#include <cmath>
void stochastichillPathfind(int grid, int start, int end, int allowDiag, int hFn) {
auto h = (hFn || HEURISTICS.manhattan);
auto prev = Map();
auto r = start[0];
auto c = start[1];
for(int step=0; step<(grid.length * grid[0].length); step++) {
visitNode(r, c);
if(((r == end[0]) && (c == end[1]))) {
reconstructPath(prev, start, end);
return;
}
auto neighbors = getNeighbors(grid, r, c, allowDiag);
std::vector<int> better; for(int _fi=0;_fi<n;_fi++) { int _v=neighbors[_fi]; if((h(nr, nc, end[0], end[1]) < h(r, c, end[0], end[1]))) better.push_back(neighbors[_fi]); }
if(!better.length) {
break;
}
auto __pattern1 = better[(int)std::floor((std::random() * better.length))];
auto nr = __pattern1[0];
auto nc = __pattern1[1];
prev.set(key(nr, nc), [r, c]);
r = nr;
c = nc;
pushFrontier(r, c);
}
reportNoPath();
} public void stochastichillPathfind(int grid, int start, int end, int allowDiag, int hFn) {
var h = (hFn || HEURISTICS.manhattan);
var prev = Map();
var r = start[0];
var c = start[1];
for(int step=0; step<(grid.length * grid[0].length); step++) {
visitNode(r, c);
if(((r == end[0]) && (c == end[1]))) {
reconstructPath(prev, start, end);
return;
}
var neighbors = getNeighbors(grid, r, c, allowDiag);
int[] better = new int[n]; int better_len=0; for(int _fi=0;_fi<n;_fi++) { int _v=neighbors[_fi]; if((h(nr, nc, end[0], end[1]) < h(r, c, end[0], end[1]))) better[better_len++]=neighbors[_fi]; }
if(!better.length) {
break;
}
var __pattern1 = better[(int)Math.Floor((double)(random() * better.length))];
var nr = __pattern1[0];
var nc = __pattern1[1];
prev.set(key(nr, nc), [r, c]);
r = nr;
c = nc;
pushFrontier(r, c);
}
reportNoPath();
} #include <stdio.h>
#include <math.h>
void stochastichillPathfind(int grid, int start, int end, int allowDiag, int hFn) {
var h = (hFn || HEURISTICS.manhattan);
var prev = Map();
var r = start[0];
var c = start[1];
for(int step=0; step<(grid.length * grid[0].length); step++) {
visitNode(r, c);
if(((r == end[0]) && (c == end[1]))) {
reconstructPath(prev, start, end);
return;
}
var neighbors = getNeighbors(grid, r, c, allowDiag);
int better[n]; int better_len=0; for(int _fi=0;_fi<n;_fi++) { int _v=neighbors[_fi]; if((h(nr, nc, end[0], end[1]) < h(r, c, end[0], end[1]))) better[better_len++]=neighbors[_fi]; }
if(!better.length) {
break;
}
var __pattern1 = better[(int)floor((random() * better.length))];
var nr = __pattern1[0];
var nc = __pattern1[1];
prev.set(key(nr, nc), [r, c]);
r = nr;
c = nc;
pushFrontier(r, c);
}
reportNoPath();
}