15 puzzle solver: Difference between revisions
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{{task|Games}} |
{{task|Games}} |
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Your task is to write a program that finds a solution in the fewest moves possible to a random [[wp:15_puzzle|Fifteen Puzzle Game]].<br /> |
Your task is to write a program that finds a solution in the fewest single moves (no multimoves) possible to a random [[wp:15_puzzle|Fifteen Puzzle Game]].<br /> |
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For this task you will be using the following puzzle:<br /> |
For this task you will be using the following puzzle:<br /> |
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<pre>15 14 1 6 |
<pre>15 14 1 6 |
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</pre> |
</pre> |
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The output must show the moves' directions, like so: left, left, left, down, right... and so on.<br /> |
The output must show the moves' directions, like so: left, left, left, down, right... and so on.<br /> |
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There are 2 solutions with 52 moves:<br> |
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rrrulddluuuldrurdddrullulurrrddldluurddlulurruldrdrd<br> |
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rrruldluuldrurdddluulurrrdlddruldluurddlulurruldrrdd<br> |
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see: [http://www.rosettacode.org/wiki/15_puzzle_solver/Optimal_solution Pretty Print of Optimal |
see: [http://www.rosettacode.org/wiki/15_puzzle_solver/Optimal_solution Pretty Print of Optimal Solution] |
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;Extra credit. |
;Extra credit. |
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;Related |
;Related Tasks: |
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* [[15_Puzzle_Game|15 puzzle game]] |
* [[15_Puzzle_Game|15 puzzle game]] |
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* [[15_puzzle_solver/Multimove|15 puzzle solver allowing multimoves]] |
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<br><br> |
<br><br> |
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=={{header|C++}}== |
=={{header|C++}}== |
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{{incorrect|C++|The task calls for a solution in the fewest moves which is 31 not 52}} |
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===Staying Functional (as possible in C++)=== |
===Staying Functional (as possible in C++)=== |
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====The Solver==== |
====The Solver==== |
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=={{header|F_Sharp|F#}}== |
=={{header|F_Sharp|F#}}== |
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{{incorrect|F#|The task calls for a solution in the fewest moves which is 31 not 52}} |
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<lang fsharp> |
<lang fsharp> |
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// A Naive 15 puzzle solver using no memory. Nigel Galloway: October 6th., 2017 |
// A Naive 15 puzzle solver using no memory. Nigel Galloway: October 6th., 2017 |
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Solution found with 52 moves: rrrulddluuuldrurdddrullulurrrddldluurddlulurruldrdrd |
Solution found with 52 moves: rrrulddluuuldrurdddrullulurrrddldluurddlulurruldrdrd |
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</pre> |
</pre> |
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=={{header|Phix}}== |
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<lang Phix>-- |
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-- demo\rosetta\Solve15puzzle.exw |
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-- |
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constant STM = 0 -- single-tile metrics. |
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constant MTM = 0 -- multi-tile metrics. |
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if STM and MTM then ?9/0 end if -- both prohibited |
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-- 0 0 -- fastest, but non-optimal |
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-- 1 0 -- optimal in STM |
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-- 0 1 -- optimal in MTM (slowest by far) |
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--Note: The fast method uses an inadmissible heuristic - see "not STM" in iddfs(). |
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-- It explores mtm-style using the higher stm heuristic and may therefore |
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-- fail badly in some cases. |
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constant SIZE = 4 |
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constant goal = { 1, 2, 3, 4, |
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5, 6, 7, 8, |
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9,10,11,12, |
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13,14,15, 0} |
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-- |
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-- multi-tile-metric walking distance heuristic lookup (mmwd). |
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-- ========================================================== |
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-- Uses patterns of counts of tiles in/from row/col, eg the solved state |
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-- (ie goal above) could be represented by the following: |
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-- {{4,0,0,0}, |
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-- {0,4,0,0}, |
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-- {0,0,4,0}, |
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-- {0,0,0,3}} |
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-- ie row/col 1 contains 4 tiles from col/row 1, etc. In this case |
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-- both are identical, but you can count row/col or col/row, and then |
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-- add them together. There are up to 24964 possible patterns. The |
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-- blank space is not counted. Note that a vertical move cannot change |
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-- a vertical pattern, ditto horizontal, and basic symmetry means that |
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-- row/col and col/row patterns will match (at least, that is, if they |
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-- are calculated sympathetically), halving the setup cost. |
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-- The data is just the number of moves made before this pattern was |
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-- first encountered, in a breadth-first search, backwards from the |
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-- goal state, until all patterns have been enumerated. |
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-- (The same ideas/vars are now also used for stm metrics when MTM=0) |
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-- |
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sequence wdkey -- one such 4x4 pattern |
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constant mmwd = new_dict() -- lookup table, data is walking distance. |
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-- |
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-- We use two to-do lists: todo is the current list, and everything |
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-- of walkingdistance+1 ends up on tdnx. Once todo is exhausted, we |
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-- swap the dictionary-ids, so tdnx automatically becomes empty. |
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-- Key is an mmwd pattern as above, and data is {distance,space_idx}. |
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-- |
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integer todo = new_dict() |
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integer tdnx = new_dict() |
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-- |
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enum UP = 1, DOWN = -1 |
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procedure explore(integer space_idx, walking_distance, direction) |
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-- |
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-- Given a space index, explore all the possible moves in direction, |
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-- setting the distance and extending the tdnx table. |
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-- |
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integer tile_idx = space_idx+direction |
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for group=1 to SIZE do |
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if wdkey[tile_idx][group] then |
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-- ie: check row tile_idx for tiles belonging to rows 1..4 |
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-- Swap one of those tiles with the space |
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wdkey[tile_idx][group] -= 1 |
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wdkey[space_idx][group] += 1 |
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if getd_index(wdkey,mmwd)=0 then |
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-- save the walking distance value |
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setd(wdkey,walking_distance+1,mmwd) |
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-- and add to the todo next list: |
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if getd_index(wdkey,tdnx)!=0 then ?9/0 end if |
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setd(wdkey,{walking_distance+1,tile_idx},tdnx) |
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end if |
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if MTM then |
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if tile_idx>1 and tile_idx<SIZE then |
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-- mtm: same direction means same distance: |
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explore(tile_idx, walking_distance, direction) |
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end if |
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end if |
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-- Revert the swap so we can look at the next candidate. |
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wdkey[tile_idx][group] += 1 |
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wdkey[space_idx][group] -= 1 |
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end if |
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end for |
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end procedure |
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procedure generate_mmwd() |
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-- Perform a breadth-first search begining with the solved puzzle state |
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-- and exploring from there until no more new patterns emerge. |
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integer walking_distance = 0, space = 4 |
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wdkey = {{4,0,0,0}, -- \ |
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{0,4,0,0}, -- } 4 tiles in correct row positions |
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{0,0,4,0}, -- / |
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{0,0,0,3}} -- 3 tiles in correct row position |
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setd(wdkey,walking_distance,mmwd) |
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while 1 do |
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if space<4 then explore(space, walking_distance, UP) end if |
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if space>1 then explore(space, walking_distance, DOWN) end if |
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if dict_size(todo)=0 then |
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if dict_size(tdnx)=0 then exit end if |
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{todo,tdnx} = {tdnx,todo} |
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end if |
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wdkey = getd_partial_key(0,todo) |
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{walking_distance,space} = getd(wdkey,todo) |
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deld(wdkey,todo) |
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end while |
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end procedure |
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function walking_distance(sequence puzzle) |
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sequence rkey = repeat(repeat(0,SIZE),SIZE), |
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ckey = repeat(repeat(0,SIZE),SIZE) |
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integer k = 1 |
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for i=1 to SIZE do -- rows |
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for j=1 to SIZE do -- columns |
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integer tile = puzzle[k] |
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if tile!=0 then |
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integer row = floor((tile-1)/4)+1, |
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col = mod(tile-1,4)+1 |
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rkey[i][row] += 1 |
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ckey[j][col] += 1 |
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end if |
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k += 1 |
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end for |
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end for |
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if getd_index(rkey,mmwd)=0 |
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or getd_index(ckey,mmwd)=0 then |
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?9/0 -- sanity check |
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end if |
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integer rwd = getd(rkey,mmwd), |
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cwd = getd(ckey,mmwd) |
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return rwd+cwd |
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end function |
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sequence puzzle |
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string res = "" |
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atom t0 = time(), |
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t1 = time()+1 |
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atom tries = 0 |
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constant ok = {{0,1,1,1,0,1,1,1,0,1,1,1,0,1,1,1}, -- left |
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{0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1}, -- up |
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{1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0}, -- down |
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{1,1,1,0,1,1,1,0,1,1,1,0,1,1,1,0}} -- right |
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function iddfs(integer step, lim, space, prevmv) |
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if time()>t1 then |
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printf(1,"working... (depth=%d, tries=%d, time=%3ds)\r",{lim,tries,time()-t0}) |
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t1 = time()+1 |
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end if |
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tries += 1 |
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integer d = iff(step==lim?0:walking_distance(puzzle)) |
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if d=0 then |
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return (puzzle==goal) |
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elsif step+d<=lim then |
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for mv=1 to 4 do -- l/u/d/r |
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if prevmv!=(5-mv) -- not l after r or vice versa, ditto u/d |
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and ok[mv][space] then |
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integer nspace = space+{-1,-4,+4,+1}[mv] |
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integer tile = puzzle[nspace] |
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if puzzle[space]!=0 then ?9/0 end if -- sanity check |
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puzzle[space] = tile |
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puzzle[nspace] = 0 |
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if iddfs(step+iff(MTM or not STM?(prevmv!=mv):1),lim,nspace,mv) then |
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res &= "ludr"[mv] |
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return true |
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end if |
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puzzle[nspace] = tile |
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puzzle[space] = 0 |
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end if |
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end for |
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end if |
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return false |
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end function |
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function pack(string s) |
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integer n = length(s), n0 = n |
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for i=1 to 4 do |
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integer ch = "lrud"[i], k |
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while 1 do |
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k = match(repeat(ch,3),s) |
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if k=0 then exit end if |
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s[k+1..k+2] = "3" |
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n -= 2 |
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end while |
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while 1 do |
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k = match(repeat(ch,2),s) |
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if k=0 then exit end if |
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s[k+1] = '2' |
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n -= 1 |
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end while |
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end for |
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return {n,iff(MTM?sprintf("%d",n):sprintf("%d(%d)",{n,n0})),s} |
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end function |
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procedure apply_moves(string moves, integer space) |
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integer move, ch, nspace |
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puzzle[space] = 0 |
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for i=1 to length(moves) do |
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ch = moves[i] |
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if ch>'3' then |
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move = find(ch,"ulrd") |
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end if |
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-- (hint: "r" -> the 'r' does 1 |
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-- "r2" -> the 'r' does 1, the '2' does 1 |
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-- "r3" -> the 'r' does 1, the '3' does 2!) |
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for j=1 to 1+(ch='3') do |
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nspace = space+{-4,-1,+1,4}[move] |
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puzzle[space] = puzzle[nspace] |
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space = nspace |
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puzzle[nspace] = 0 |
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end for |
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end for |
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end procedure |
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function solvable(sequence board) |
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integer n = length(board) |
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sequence positions = repeat(0,n) |
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-- prepare the mapping from each tile to its position |
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board[find(0,board)] = n |
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for i=1 to n do |
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positions[board[i]] = i |
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end for |
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-- check whether this is an even or odd state |
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integer row = floor((positions[16]-1)/4), |
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col = (positions[16]-1)-row*4 |
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bool even_state = (positions[16]==16) or (mod(row,2)==mod(col,2)) |
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-- count the even cycles |
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integer even_count = 0 |
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sequence visited = repeat(false,16) |
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for i=1 to n do |
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if not visited[i] then |
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-- a new cycle starts at i. Count its length.. |
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integer cycle_length = 0, |
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next_tile = i |
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while not visited[next_tile] do |
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cycle_length +=1 |
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visited[next_tile] = true |
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next_tile = positions[next_tile] |
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end while |
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even_count += (mod(cycle_length,2)==0) |
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end if |
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end for |
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return even_state == (mod(even_count,2)==0) |
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end function |
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procedure main() |
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puzzle = {15,14, 1, 6, |
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9,11, 4,12, |
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0,10, 7, 3, |
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13, 8, 5, 2} |
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if not solvable(puzzle) then |
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?puzzle |
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printf(1,"puzzle is not solveable\n") |
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else |
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generate_mmwd() |
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sequence original = puzzle |
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integer space = find(0,puzzle) |
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for lim=walking_distance(puzzle) to iff(MTM?43:80) do |
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if iddfs(0, lim, space, '-') then exit end if |
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end for |
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{integer n, string ns, string ans} = pack(reverse(res)) |
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printf(1,"\n\noriginal:") |
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?original |
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atom t = time()-t0 |
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printf(1,"\n%soptimal solution of %s moves found in %s: %s\n\nresult: ", |
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{iff(MTM?"mtm-":iff(STM?"stm-":"non-")),ns,elapsed(t),ans}) |
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puzzle = original |
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apply_moves(ans,space) |
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?puzzle |
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end if |
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end procedure |
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main()</lang> |
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{{out}} |
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<pre> |
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original:{15,14,1,6,9,11,4,12,0,10,7,3,13,8,5,2} |
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non-optimal solution of 35(60) moves found in 2.42s: u2r2d3ru2ld2ru3ld3l2u3r2d2l2dru2ldru2rd3lulur3dl2ur2d2 |
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stm-optimal solution of 38(52) moves found in 1 minute and 54s: r3uldlu2ldrurd3lu2lur3dld2ruldlu2rd2lulur2uldr2d2 |
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mtm-optimal solution of 31(60) moves found in 2 hours, 38 minutes and 28s: u2r2d3ru2ld2ru3ld3l2u3r2d2l2dru3rd3l2u2r3dl3dru2r2d2 |
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</pre> |
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Partial extra credit: |
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<pre> |
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{2,1,3,4,5,6,7,8,9,10,11,12,13,14,15,0} |
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puzzle is not solveable |
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</pre> |
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No luck on the other one, a non-optimal 60(98) moves was the best it could manage. |
Revision as of 09:58, 24 October 2017
You are encouraged to solve this task according to the task description, using any language you may know.
Your task is to write a program that finds a solution in the fewest single moves (no multimoves) possible to a random Fifteen Puzzle Game.
For this task you will be using the following puzzle:
15 14 1 6 9 11 4 12 0 10 7 3 13 8 5 2
Solution:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 0
The output must show the moves' directions, like so: left, left, left, down, right... and so on.
There are 2 solutions with 52 moves:
rrrulddluuuldrurdddrullulurrrddldluurddlulurruldrdrd
rrruldluuldrurdddluulurrrdlddruldluurddlulurruldrrdd
see: Pretty Print of Optimal Solution
- Extra credit.
Solve the following problems:
2 1 3 4 5 6 7 8 9 10 11 12 13 14 15 0
and
0 12 9 13 15 11 10 14 3 7 2 5 4 8 6 1
- Related Tasks
C++
Staying Functional (as possible in C++)
The Solver
<lang cpp> // Solve Random 15 Puzzles : Nigel Galloway - October 11th., 2017 const int Nr[]{3,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3}, Nc[]{3,0,1,2,3,0,1,2,3,0,1,2,3,0,1,2}; using N = std::tuple<int,int,unsigned long,std::string,int>; void fN(const N,const int); const N fI(const N n){
int g = (11-std::get<1>(n)-std::get<0>(n)*4)*4; unsigned long a = std::get<2>(n)&((unsigned long)15<<g); return N (std::get<0>(n)+1,std::get<1>(n),std::get<2>(n)-a+(a<<16),std::get<3>(n)+"d",(Nr[a>>g]<=std::get<0>(n))?std::get<4>(n):std::get<4>(n)+1);
} const N fG(const N n){
int g = (19-std::get<1>(n)-std::get<0>(n)*4)*4; unsigned long a = std::get<2>(n)&((unsigned long)15<<g); return N (std::get<0>(n)-1,std::get<1>(n),std::get<2>(n)-a+(a>>16),std::get<3>(n)+"u",(Nr[a>>g]>=std::get<0>(n))?std::get<4>(n):std::get<4>(n)+1);
} const N fE(const N n){
int g = (14-std::get<1>(n)-std::get<0>(n)*4)*4; unsigned long a = std::get<2>(n)&((unsigned long)15<<g); return N (std::get<0>(n),std::get<1>(n)+1,std::get<2>(n)-a+(a<<4),std::get<3>(n)+"r",(Nc[a>>g]<=std::get<1>(n))?std::get<4>(n):std::get<4>(n)+1);
} const N fL(const N n){
int g = (16-std::get<1>(n)-std::get<0>(n)*4)*4; unsigned long a = std::get<2>(n)&((unsigned long)15<<g); return N (std::get<0>(n),std::get<1>(n)-1,std::get<2>(n)-a+(a>>4),std::get<3>(n)+"l",(Nc[a>>g]>=std::get<1>(n))?std::get<4>(n):std::get<4>(n)+1);
} void fZ(const N n, const int g){
if (std::get<2>(n)==0x123456789abcdef0){ int g{};for (char a: std::get<3>(n)) ++g; std::cout<<"Solution found with "<<g<<" moves: "<<std::get<3>(n)<<std::endl; exit(0);} if (std::get<4>(n) <= g) fN(n,g);
} void fN(const N n, const int g){
const int i{std::get<0>(n)}, e{std::get<1>(n)}, l{std::get<3>(n).back()}; switch(i){case 0: switch(e){case 0: switch(l){case 'l': fZ(fI(n),g); return; case 'u': fZ(fE(n),g); return; default : fZ(fE(n),g); fZ(fI(n),g); return;} case 3: switch(l){case 'r': fZ(fI(n),g); return; case 'u': fZ(fL(n),g); return; default : fZ(fL(n),g); fZ(fI(n),g); return;} default: switch(l){case 'l': fZ(fI(n),g); fZ(fL(n),g); return; case 'r': fZ(fI(n),g); fZ(fE(n),g); return; case 'u': fZ(fE(n),g); fZ(fL(n),g); return; default : fZ(fL(n),g); fZ(fI(n),g); fZ(fE(n),g); return;}} case 3: switch(e){case 0: switch(l){case 'l': fZ(fG(n),g); return; case 'd': fZ(fE(n),g); return; default : fZ(fE(n),g); fZ(fG(n),g); return;} case 3: switch(l){case 'r': fZ(fG(n),g); return; case 'd': fZ(fL(n),g); return; default : fZ(fL(n),g); fZ(fG(n),g); return;} default: switch(l){case 'l': fZ(fG(n),g); fZ(fL(n),g); return; case 'r': fZ(fG(n),g); fZ(fE(n),g); return; case 'd': fZ(fE(n),g); fZ(fL(n),g); return; default : fZ(fL(n),g); fZ(fG(n),g); fZ(fE(n),g); return;}} default: switch(e){case 0: switch(l){case 'l': fZ(fI(n),g); fZ(fG(n),g); return; case 'u': fZ(fE(n),g); fZ(fG(n),g); return; case 'd': fZ(fE(n),g); fZ(fI(n),g); return; default : fZ(fE(n),g); fZ(fI(n),g); fZ(fG(n),g); return;} case 3: switch(l){case 'd': fZ(fI(n),g); fZ(fL(n),g); return; case 'u': fZ(fL(n),g); fZ(fG(n),g); return; case 'r': fZ(fI(n),g); fZ(fG(n),g); return; default : fZ(fL(n),g); fZ(fI(n),g); fZ(fG(n),g); return;} default: switch(l){case 'd': fZ(fI(n),g); fZ(fL(n),g); fZ(fE(n),g); return; case 'l': fZ(fI(n),g); fZ(fL(n),g); fZ(fG(n),g); return; case 'r': fZ(fI(n),g); fZ(fE(n),g); fZ(fG(n),g); return; case 'u': fZ(fE(n),g); fZ(fL(n),g); fZ(fG(n),g); return; default : fZ(fL(n),g); fZ(fI(n),g); fZ(fE(n),g); fZ(fG(n),g); return;}}}
} void Solve(N n){for(int g{};;++g) fN(n,g);} </lang>
The Task
<lang cpp> int main (){
N start(2,0,0xfe169b4c0a73d852,"",0); Solve(start);
} </lang>
- Output:
Solution found with 52 moves: rrrulddluuuldrurdddrullulurrrddldluurddlulurruldrdrd real 0m2.897s user 0m2.887s sys 0m0.008s
Time to get Imperative
see for an analysis of 20 randomly generated 15 puzzles solved with this solver.
The Solver
<lang cpp> // Solve Random 15 Puzzles : Nigel Galloway - October 18th., 2017 class fifteenSolver{
const int Nr[16]{3,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3}, Nc[16]{3,0,1,2,3,0,1,2,3,0,1,2,3,0,1,2}, i{1}, g{8}, e{2}, l{4}; int n{},_n{}, N0[85]{},N1[85]{},N3[85]{},N4[85]; unsigned long N2[85]{}; bool fU(){ if (N2[n]==0x123456789abcdef0) return true; if (N4[n]<=_n) return fN(); return false; } bool fZ(const int w){ int a = n; if ((w&i)>0){fI(); if (fU()) return true; n=a;} if ((w&g)>0){fG(); if (fU()) return true; n=a;} if ((w&e)>0){fE(); if (fU()) return true; n=a;} if ((w&l)>0){fL(); return fU();} return false; } bool fN(){ switch(N0[n]){case 0: switch(N1[n]){case 0: switch(N3[n]){case 'l': return fZ(i); case 'u': return fZ(e); default : return fZ(i+e);} case 3: switch(N3[n]){case 'r': return fZ(i); case 'u': return fZ(l); default : return fZ(i+l);} default: switch(N3[n]){case 'l': return fZ(i+l); case 'r': return fZ(i+e); case 'u': return fZ(e+l); default : return fZ(i+e+l);}} case 3: switch(N1[n]){case 0: switch(N3[n]){case 'l': return fZ(g); case 'd': return fZ(e); default : return fZ(e+g);} case 3: switch(N3[n]){case 'r': return fZ(g); case 'd': return fZ(l); default : return fZ(g+l);} default: switch(N3[n]){case 'l': return fZ(g+l); case 'r': return fZ(e+g); case 'd': return fZ(e+l); default : return fZ(g+e+l);}} default: switch(N1[n]){case 0: switch(N3[n]){case 'l': return fZ(i+g); case 'u': return fZ(g+e); case 'd': return fZ(i+e); default : return fZ(i+g+e);} case 3: switch(N3[n]){case 'd': return fZ(i+l); case 'u': return fZ(g+l); case 'r': return fZ(i+g); default : return fZ(i+g+l);} default: switch(N3[n]){case 'd': return fZ(i+e+l); case 'l': return fZ(i+g+l); case 'r': return fZ(i+g+e); case 'u': return fZ(g+e+l); default : return fZ(i+g+e+l);}}} } void fI(){ int g = (11-N1[n]-N0[n]*4)*4; unsigned long a = N2[n]&((unsigned long)15<<g); N0[n+1]=N0[n]+1; N1[n+1]=N1[n]; N2[n+1]=N2[n]-a+(a<<16); N3[n+1]='d'; N4[n+1]=N4[n]+(Nr[a>>g]<=N0[n++]?0:1); } void fG(){ int g = (19-N1[n]-N0[n]*4)*4; unsigned long a = N2[n]&((unsigned long)15<<g); N0[n+1]=N0[n]-1; N1[n+1]=N1[n]; N2[n+1]=N2[n]-a+(a>>16); N3[n+1]='u'; N4[n+1]=N4[n]+(Nr[a>>g]>=N0[n++]?0:1); } void fE(){ int g = (14-N1[n]-N0[n]*4)*4; unsigned long a = N2[n]&((unsigned long)15<<g); N0[n+1]=N0[n]; N1[n+1]=N1[n]+1; N2[n+1]=N2[n]-a+(a<<4); N3[n+1]='r'; N4[n+1]=N4[n]+(Nc[a>>g]<=N1[n++]?0:1); } void fL(){ int g = (16-N1[n]-N0[n]*4)*4; unsigned long a = N2[n]&((unsigned long)15<<g); N0[n+1]=N0[n]; N1[n+1]=N1[n]-1; N2[n+1]=N2[n]-a+(a>>4); N3[n+1]='l'; N4[n+1]=N4[n]+(Nc[a>>g]>=N1[n++]?0:1); }
public:
fifteenSolver(int n, int i, unsigned long g){N0[0]=n; N1[0]=i; N2[0]=g; N4[0]=0;} void Solve(){ while (not fN()){n=0;++_n;} std::cout<<"Solution found in "<<n<<" moves: "; for (int g{1};g<=n;++g) std::cout<<(char)N3[g]; std::cout<<std::endl; }
}; </lang>
The Task
<lang cpp> int main (){
fifteenSolver start(2,0,0xfe169b4c0a73d852); start.Solve();
} </lang>
- Output:
Solution found in 52 moves: rrrulddluuuldrurdddrullulurrrddldluurddlulurruldrdrd real 0m0.795s user 0m0.794s sys 0m0.000s
F#
<lang fsharp> // A Naive 15 puzzle solver using no memory. Nigel Galloway: October 6th., 2017 let Nr = [|3;0;0;0;0;1;1;1;1;2;2;2;2;3;3;3|] let Nc = [|3;0;1;2;3;0;1;2;3;0;1;2;3;0;1;2|] let rec Solve n =
let rec fN (i,g,e,l,_) = seq { let fI = let n = (11-g-i*4)*4 let a = (e&&&(15UL<<<n)) (i+1,g,e-a+(a<<<16),'d'::l,Nr.[(int (a>>>n))] <= i) let fG = let n = (19-g-i*4)*4 let a = (e&&&(15UL<<<n)) (i-1,g,e-a+(a>>>16),'u'::l,Nr.[(int (a>>>n))] >= i) let fE = let n = (14-g-i*4)*4 let a = (e&&&(15UL<<<n)) (i,g+1,e-a+(a<<<4), 'r'::l,Nc.[(int (a>>>n))] <= g) let fL = let n = (16-g-i*4)*4 let a = (e&&&(15UL<<<n)) (i,g-1,e-a+(a>>>4), 'l'::l,Nc.[(int (a>>>n))] >= g) let fZ (n,i,g,e,l) = seq{yield (n,i,g,e,l); if l then yield! fN (n,i,g,e,l)} match (i,g,l) with |(0,0,'l'::_) -> yield! fZ fI |(0,0,'u'::_) -> yield! fZ fE |(0,0,_) -> yield! fZ fI; yield! fZ fE |(0,3,'r'::_) -> yield! fZ fI |(0,3,'u'::_) -> yield! fZ fL |(0,3,_) -> yield! fZ fI; yield! fZ fL |(3,0,'l'::_) -> yield! fZ fG |(3,0,'d'::_) -> yield! fZ fE |(3,0,_) -> yield! fZ fE; yield! fZ fG |(3,3,'r'::_) -> yield! fZ fG |(3,3,'d'::_) -> yield! fZ fL |(3,3,_) -> yield! fZ fG; yield! fZ fL |(0,_,'l'::_) -> yield! fZ fI; yield! fZ fL |(0,_,'r'::_) -> yield! fZ fI; yield! fZ fE |(0,_,'u'::_) -> yield! fZ fE; yield! fZ fL |(0,_,_) -> yield! fZ fI; yield! fZ fE; yield! fZ fL |(_,0,'l'::_) -> yield! fZ fI; yield! fZ fG |(_,0,'u'::_) -> yield! fZ fE; yield! fZ fG |(_,0,'d'::_) -> yield! fZ fI; yield! fZ fE |(_,0,_) -> yield! fZ fI; yield! fZ fE; yield! fZ fG |(3,_,'l'::_) -> yield! fZ fG; yield! fZ fL |(3,_,'r'::_) -> yield! fZ fE; yield! fZ fG |(3,_,'d'::_) -> yield! fZ fE; yield! fZ fL |(3,_,_) -> yield! fZ fE; yield! fZ fG; yield! fZ fL |(_,3,'d'::_) -> yield! fZ fI; yield! fZ fL |(_,3,'u'::_) -> yield! fZ fL; yield! fZ fG |(_,3,'r'::_) -> yield! fZ fI; yield! fZ fG |(_,3,_) -> yield! fZ fI; yield! fZ fL; yield! fZ fG |(_,_,'d'::_) -> yield! fZ fI; yield! fZ fE; yield! fZ fL |(_,_,'l'::_) -> yield! fZ fI; yield! fZ fG; yield! fZ fL |(_,_,'r'::_) -> yield! fZ fI; yield! fZ fE; yield! fZ fG |(_,_,'u'::_) -> yield! fZ fE; yield! fZ fG; yield! fZ fL |_ -> yield! fZ fI; yield! fZ fE; yield! fZ fG; yield! fZ fL } let n = Seq.collect fN n match (Seq.tryFind(fun(_,_,n,_,_)->n=0x123456789abcdef0UL)) n with |Some(_,_,_,n,_) -> printf "Solution found with %d moves: " (List.length n); List.iter (string >> printf "%s") (List.rev n); printfn "" |_ -> Solve (Seq.filter(fun (_,_,_,_,n)->not n) n)
Solve [(2,0,0xfe169b4c0a73d852UL,[],false)] </lang>
- Output:
Solution found with 52 moves: rrrulddluuuldrurdddrullulurrrddldluurddlulurruldrdrd