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sml-projects/fcore/path-finding.sml

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structure PathFinding =
struct
fun filterMinDuplicates (q, eKeys) =
if DistVec.isEmpty q then
q
else
let
val {id = min, ...} = DistVec.findMin q
val pos = IntSet.findInsPos (min, eKeys)
in
if IntSet.contains (min, eKeys) then
let val q = DistVec.deleteMin q
in filterMinDuplicates (q, eKeys)
end
else
q
end
fun helpGetPathList (curID, eID, eKeys, eVals, acc) =
if curID = eID then
(* reached starting ID of platform so return *)
acc
else
(* cons curID and traverse links backwards to reconstruct path *)
let
val acc = curID :: acc
val pos = IntSet.findInsPos (curID, eKeys)
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val {from, distance, ...} = ValSet.sub (eVals, pos)
in
helpGetPathList (from, eID, eKeys, eVals, acc)
end
fun getPathList (pID, eID, eKeys, eVals) =
helpGetPathList (pID, eID, eKeys, eVals, [])
fun helpExplore (pos, graphNode, minID, distSoFar, q) =
if pos = Vector.length graphNode then
q
else
let
val {distance = newPlatDist, id = newPlatID} =
Vector.sub (graphNode, pos)
val totalDist = newPlatDist + distSoFar
val insRecord =
{distance = totalDist, id = newPlatID, comesFrom = minID}
val insPos = DistVec.findInsPos (insRecord, q)
val q = DistVec.insert (q, insRecord, insPos)
in
helpExplore (pos + 1, graphNode, minID, distSoFar, q)
end
fun explore (graphNode, minID, distSoFar, q) =
helpExplore (0, graphNode, minID, distSoFar, q)
fun loop (pID, eID, platforms, platformTree, q, eKeys, eVals, graph) =
if IntSet.contains (pID, eKeys) then
(* return path if we explored pid *)
getPathList (pID, eID, eKeys, eVals)
else
(* continue dijkstra's algorithm *)
let
(* filtering duplicates because we have no decrease-key operation *)
val q = filterMinDuplicates (q, eKeys)
in
if DistVec.isEmpty q then
(* return empty list to signify that there is no path *)
[]
else
(* find reachable values from min in quad tree *)
let
val {distance = distSoFar, id = minID, comesFrom} =
DistVec.findMin q
(* explore platforms connected to minID *)
val platPos = Platform.findPos (minID, platforms)
val plat = Vector.sub (platforms, platPos)
val graphNode = Vector.sub (graph, platPos)
(* on each loop, increment distSoFar by 15.
* Result: paths that require jumps to fewer platforms are
* incentivised a little bit. *)
val q = explore (graphNode, minID, distSoFar + 15, q)
(* mark platform with (id = minID) as explored *)
val insPos = IntSet.findInsPos (minID, eKeys)
val eKeys = IntSet.insert (eKeys, minID, insPos)
val eVals =
ValSet.insert
(eVals, {distance = distSoFar, from = comesFrom}, insPos)
in
loop (pID, eID, platforms, platformTree, q, eKeys, eVals, graph)
end
end
fun start (pID, eID, platforms, platformTree, graph) =
let
(* initialise data structures: the priority queue and the explored map *)
val q = DistVec.fromList [{distance = 0, id = eID, comesFrom = eID}]
(* explored keys and values *)
val eKeys = IntSet.empty
val eVals = ValSet.empty
(* important: starting node will have a key that points to itself.
* For example, if starting node is #"e", then the record will say
* the "from" field is #"e".
* This is different from the other nodes, where the "from" field
* will be the ID of the previous node which led to the current one.
* This is our terminating condition when reconstructing paths:
* If the key matching this value is the same as the "from" node,
* then we're done reconstructing the path and can return the path list.
* *)
in
loop (pID, eID, platforms, platformTree, q, eKeys, eVals, graph)
end
end