I\'m trying to do a Depth-First search in Python but it\'s not working.
Basically we have a peg-solitaire board:
[1,1,1,1,1,0,1,1,1,1]
The normal way to implement DFS in a situation where each step is a "move" from a "board position" to some possible next one, until a goal is reached, is as follows (pseudocode)
seenpositions = set()
currentpositions = set([startingposition])
while currentpositions:
nextpositions = set()
for p in currentpositions:
seenpositions.add(p)
succ = possiblesuccessors(p)
for np in succ:
if np in seenpositions: continue
if isending(np): raise FoundSolution(np)
nextpositions.add(np)
currentpositions = nextpositions
raise NoSolutionExists()
You probably also want to keep backward links to be able to emit, at the end, the series of moves leading to the found solution (if any), but that's an ancillary problem.
I don't recognize a trace of this general structure (or reasonable variant thereof) in your code. Why not try to record it this way? You only need to code possiblesuccessors
and isending
(if you insist on keeping a position as a list you'll have to turn it into a tuple to check membership in set and add to set, but, that's pretty minor;-).