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+-- | Graph Coloring.
+-- This is a generic graph coloring library, abstracted over the type of
+-- the node keys, nodes and colors.
+--
+
+{-# OPTIONS_GHC -Wno-incomplete-uni-patterns #-}
+
+module GHC.Data.Graph.Color (
+ module GHC.Data.Graph.Base,
+ module GHC.Data.Graph.Ops,
+ module GHC.Data.Graph.Ppr,
+ colorGraph
+)
+
+where
+
+import GHC.Prelude
+
+import GHC.Data.Graph.Base
+import GHC.Data.Graph.Ops
+import GHC.Data.Graph.Ppr
+
+import GHC.Types.Unique
+import GHC.Types.Unique.FM
+import GHC.Types.Unique.Set
+import GHC.Utils.Outputable
+
+import Data.Maybe
+import Data.List
+
+
+-- | Try to color a graph with this set of colors.
+-- Uses Chaitin's algorithm to color the graph.
+-- The graph is scanned for nodes which are deamed 'trivially colorable'. These nodes
+-- are pushed onto a stack and removed from the graph.
+-- Once this process is complete the graph can be colored by removing nodes from
+-- the stack (ie in reverse order) and assigning them colors different to their neighbors.
+--
+colorGraph
+ :: ( Uniquable k, Uniquable cls, Uniquable color
+ , Eq cls, Ord k
+ , Outputable k, Outputable cls, Outputable color)
+ => Bool -- ^ whether to do iterative coalescing
+ -> Int -- ^ how many times we've tried to color this graph so far.
+ -> UniqFM (UniqSet color) -- ^ map of (node class -> set of colors available for this class).
+ -> Triv k cls color -- ^ fn to decide whether a node is trivially colorable.
+ -> (Graph k cls color -> k) -- ^ fn to choose a node to potentially leave uncolored if nothing is trivially colorable.
+ -> Graph k cls color -- ^ the graph to color.
+
+ -> ( Graph k cls color -- the colored graph.
+ , UniqSet k -- the set of nodes that we couldn't find a color for.
+ , UniqFM k ) -- map of regs (r1 -> r2) that were coalesced
+ -- r1 should be replaced by r2 in the source
+
+colorGraph iterative spinCount colors triv spill graph0
+ = let
+ -- If we're not doing iterative coalescing then do an aggressive coalescing first time
+ -- around and then conservative coalescing for subsequent passes.
+ --
+ -- Aggressive coalescing is a quick way to get rid of many reg-reg moves. However, if
+ -- there is a lot of register pressure and we do it on every round then it can make the
+ -- graph less colorable and prevent the algorithm from converging in a sensible number
+ -- of cycles.
+ --
+ (graph_coalesced, kksCoalesce1)
+ = if iterative
+ then (graph0, [])
+ else if spinCount == 0
+ then coalesceGraph True triv graph0
+ else coalesceGraph False triv graph0
+
+ -- run the scanner to slurp out all the trivially colorable nodes
+ -- (and do coalescing if iterative coalescing is enabled)
+ (ksTriv, ksProblems, kksCoalesce2)
+ = colorScan iterative triv spill graph_coalesced
+
+ -- If iterative coalescing is enabled, the scanner will coalesce the graph as does its business.
+ -- We need to apply all the coalescences found by the scanner to the original
+ -- graph before doing assignColors.
+ --
+ -- Because we've got the whole, non-pruned graph here we turn on aggressive coalescing
+ -- to force all the (conservative) coalescences found during scanning.
+ --
+ (graph_scan_coalesced, _)
+ = mapAccumL (coalesceNodes True triv) graph_coalesced kksCoalesce2
+
+ -- color the trivially colorable nodes
+ -- during scanning, keys of triv nodes were added to the front of the list as they were found
+ -- this colors them in the reverse order, as required by the algorithm.
+ (graph_triv, ksNoTriv)
+ = assignColors colors graph_scan_coalesced ksTriv
+
+ -- try and color the problem nodes
+ -- problem nodes are the ones that were left uncolored because they weren't triv.
+ -- theres a change we can color them here anyway.
+ (graph_prob, ksNoColor)
+ = assignColors colors graph_triv ksProblems
+
+ -- if the trivially colorable nodes didn't color then something is probably wrong
+ -- with the provided triv function.
+ --
+ in if not $ null ksNoTriv
+ then pprPanic "colorGraph: trivially colorable nodes didn't color!" -- empty
+ ( empty
+ $$ text "ksTriv = " <> ppr ksTriv
+ $$ text "ksNoTriv = " <> ppr ksNoTriv
+ $$ text "colors = " <> ppr colors
+ $$ empty
+ $$ dotGraph (\_ -> text "white") triv graph_triv)
+
+ else ( graph_prob
+ , mkUniqSet ksNoColor -- the nodes that didn't color (spills)
+ , if iterative
+ then (listToUFM kksCoalesce2)
+ else (listToUFM kksCoalesce1))
+
+
+-- | Scan through the conflict graph separating out trivially colorable and
+-- potentially uncolorable (problem) nodes.
+--
+-- Checking whether a node is trivially colorable or not is a reasonably expensive operation,
+-- so after a triv node is found and removed from the graph it's no good to return to the 'start'
+-- of the graph and recheck a bunch of nodes that will probably still be non-trivially colorable.
+--
+-- To ward against this, during each pass through the graph we collect up a list of triv nodes
+-- that were found, and only remove them once we've finished the pass. The more nodes we can delete
+-- at once the more likely it is that nodes we've already checked will become trivially colorable
+-- for the next pass.
+--
+-- TODO: add work lists to finding triv nodes is easier.
+-- If we've just scanned the graph, and removed triv nodes, then the only
+-- nodes that we need to rescan are the ones we've removed edges from.
+
+colorScan
+ :: ( Uniquable k, Uniquable cls, Uniquable color
+ , Ord k, Eq cls
+ , Outputable k, Outputable cls)
+ => Bool -- ^ whether to do iterative coalescing
+ -> Triv k cls color -- ^ fn to decide whether a node is trivially colorable
+ -> (Graph k cls color -> k) -- ^ fn to choose a node to potentially leave uncolored if nothing is trivially colorable.
+ -> Graph k cls color -- ^ the graph to scan
+
+ -> ([k], [k], [(k, k)]) -- triv colorable nodes, problem nodes, pairs of nodes to coalesce
+
+colorScan iterative triv spill graph
+ = colorScan_spin iterative triv spill graph [] [] []
+
+colorScan_spin
+ :: ( Uniquable k, Uniquable cls, Uniquable color
+ , Ord k, Eq cls
+ , Outputable k, Outputable cls)
+ => Bool
+ -> Triv k cls color
+ -> (Graph k cls color -> k)
+ -> Graph k cls color
+ -> [k]
+ -> [k]
+ -> [(k, k)]
+ -> ([k], [k], [(k, k)])
+
+colorScan_spin iterative triv spill graph
+ ksTriv ksSpill kksCoalesce
+
+ -- if the graph is empty then we're done
+ | isNullUFM $ graphMap graph
+ = (ksTriv, ksSpill, reverse kksCoalesce)
+
+ -- Simplify:
+ -- Look for trivially colorable nodes.
+ -- If we can find some then remove them from the graph and go back for more.
+ --
+ | nsTrivFound@(_:_)
+ <- scanGraph (\node -> triv (nodeClass node) (nodeConflicts node) (nodeExclusions node)
+
+ -- for iterative coalescing we only want non-move related
+ -- nodes here
+ && (not iterative || isEmptyUniqSet (nodeCoalesce node)))
+ $ graph
+
+ , ksTrivFound <- map nodeId nsTrivFound
+ , graph2 <- foldr (\k g -> let Just g' = delNode k g
+ in g')
+ graph ksTrivFound
+
+ = colorScan_spin iterative triv spill graph2
+ (ksTrivFound ++ ksTriv)
+ ksSpill
+ kksCoalesce
+
+ -- Coalesce:
+ -- If we're doing iterative coalescing and no triv nodes are available
+ -- then it's time for a coalescing pass.
+ | iterative
+ = case coalesceGraph False triv graph of
+
+ -- we were able to coalesce something
+ -- go back to Simplify and see if this frees up more nodes to be trivially colorable.
+ (graph2, kksCoalesceFound@(_:_))
+ -> colorScan_spin iterative triv spill graph2
+ ksTriv ksSpill (reverse kksCoalesceFound ++ kksCoalesce)
+
+ -- Freeze:
+ -- nothing could be coalesced (or was triv),
+ -- time to choose a node to freeze and give up on ever coalescing it.
+ (graph2, [])
+ -> case freezeOneInGraph graph2 of
+
+ -- we were able to freeze something
+ -- hopefully this will free up something for Simplify
+ (graph3, True)
+ -> colorScan_spin iterative triv spill graph3
+ ksTriv ksSpill kksCoalesce
+
+ -- we couldn't find something to freeze either
+ -- time for a spill
+ (graph3, False)
+ -> colorScan_spill iterative triv spill graph3
+ ksTriv ksSpill kksCoalesce
+
+ -- spill time
+ | otherwise
+ = colorScan_spill iterative triv spill graph
+ ksTriv ksSpill kksCoalesce
+
+
+-- Select:
+-- we couldn't find any triv nodes or things to freeze or coalesce,
+-- and the graph isn't empty yet.. We'll have to choose a spill
+-- candidate and leave it uncolored.
+--
+colorScan_spill
+ :: ( Uniquable k, Uniquable cls, Uniquable color
+ , Ord k, Eq cls
+ , Outputable k, Outputable cls)
+ => Bool
+ -> Triv k cls color
+ -> (Graph k cls color -> k)
+ -> Graph k cls color
+ -> [k]
+ -> [k]
+ -> [(k, k)]
+ -> ([k], [k], [(k, k)])
+
+colorScan_spill iterative triv spill graph
+ ksTriv ksSpill kksCoalesce
+
+ = let kSpill = spill graph
+ Just graph' = delNode kSpill graph
+ in colorScan_spin iterative triv spill graph'
+ ksTriv (kSpill : ksSpill) kksCoalesce
+
+
+-- | Try to assign a color to all these nodes.
+
+assignColors
+ :: ( Uniquable k, Uniquable cls, Uniquable color
+ , Outputable cls)
+ => UniqFM (UniqSet color) -- ^ map of (node class -> set of colors available for this class).
+ -> Graph k cls color -- ^ the graph
+ -> [k] -- ^ nodes to assign a color to.
+ -> ( Graph k cls color -- the colored graph
+ , [k]) -- the nodes that didn't color.
+
+assignColors colors graph ks
+ = assignColors' colors graph [] ks
+
+ where assignColors' _ graph prob []
+ = (graph, prob)
+
+ assignColors' colors graph prob (k:ks)
+ = case assignColor colors k graph of
+
+ -- couldn't color this node
+ Nothing -> assignColors' colors graph (k : prob) ks
+
+ -- this node colored ok, so do the rest
+ Just graph' -> assignColors' colors graph' prob ks
+
+
+ assignColor colors u graph
+ | Just c <- selectColor colors graph u
+ = Just (setColor u c graph)
+
+ | otherwise
+ = Nothing
+
+
+
+-- | Select a color for a certain node
+-- taking into account preferences, neighbors and exclusions.
+-- returns Nothing if no color can be assigned to this node.
+--
+selectColor
+ :: ( Uniquable k, Uniquable cls, Uniquable color
+ , Outputable cls)
+ => UniqFM (UniqSet color) -- ^ map of (node class -> set of colors available for this class).
+ -> Graph k cls color -- ^ the graph
+ -> k -- ^ key of the node to select a color for.
+ -> Maybe color
+
+selectColor colors graph u
+ = let -- lookup the node
+ Just node = lookupNode graph u
+
+ -- lookup the available colors for the class of this node.
+ colors_avail
+ = case lookupUFM colors (nodeClass node) of
+ Nothing -> pprPanic "selectColor: no colors available for class " (ppr (nodeClass node))
+ Just cs -> cs
+
+ -- find colors we can't use because they're already being used
+ -- by a node that conflicts with this one.
+ Just nsConflicts
+ = sequence
+ $ map (lookupNode graph)
+ $ nonDetEltsUniqSet
+ $ nodeConflicts node
+ -- See Note [Unique Determinism and code generation]
+
+ colors_conflict = mkUniqSet
+ $ catMaybes
+ $ map nodeColor nsConflicts
+
+ -- the prefs of our neighbors
+ colors_neighbor_prefs
+ = mkUniqSet
+ $ concatMap nodePreference nsConflicts
+
+ -- colors that are still valid for us
+ colors_ok_ex = minusUniqSet colors_avail (nodeExclusions node)
+ colors_ok = minusUniqSet colors_ok_ex colors_conflict
+
+ -- the colors that we prefer, and are still ok
+ colors_ok_pref = intersectUniqSets
+ (mkUniqSet $ nodePreference node) colors_ok
+
+ -- the colors that we could choose while being nice to our neighbors
+ colors_ok_nice = minusUniqSet
+ colors_ok colors_neighbor_prefs
+
+ -- the best of all possible worlds..
+ colors_ok_pref_nice
+ = intersectUniqSets
+ colors_ok_nice colors_ok_pref
+
+ -- make the decision
+ chooseColor
+
+ -- everyone is happy, yay!
+ | not $ isEmptyUniqSet colors_ok_pref_nice
+ , c : _ <- filter (\x -> elementOfUniqSet x colors_ok_pref_nice)
+ (nodePreference node)
+ = Just c
+
+ -- we've got one of our preferences
+ | not $ isEmptyUniqSet colors_ok_pref
+ , c : _ <- filter (\x -> elementOfUniqSet x colors_ok_pref)
+ (nodePreference node)
+ = Just c
+
+ -- it wasn't a preference, but it was still ok
+ | not $ isEmptyUniqSet colors_ok
+ , c : _ <- nonDetEltsUniqSet colors_ok
+ -- See Note [Unique Determinism and code generation]
+ = Just c
+
+ -- no colors were available for us this time.
+ -- looks like we're going around the loop again..
+ | otherwise
+ = Nothing
+
+ in chooseColor
+
+
+