1{-# OPTIONS_GHC -Wall #-}
2module Optimize.Patterns.DecisionTree where
3{- To learn more about how this works, definitely read through:
5 "When Do Match-Compilation Heuristics Matter?"
7by Kevin Scott and Norman Ramsey. The rough idea is that we start with a simple
8list of patterns and expressions, and then turn that into a "decision tree"
9that requires as few tests as possible to make it to a leaf. Read the paper, it
10explains this extraordinarily well! We are currently using the same heuristics
11as SML/NJ to get nice trees.
14import Control.Arrow (second)
15import qualified Data.List as List
16import qualified Data.Map as Map
17import qualified Data.Set as Set
18import qualified Data.Maybe as Maybe
20import qualified AST.Helpers as Help
21import qualified AST.Literal as L
22import qualified AST.Pattern as P
23import qualified AST.Variable as Var
24import qualified Reporting.Annotation as A
27type CPattern = P.CanonicalPattern
32{-| Users of this module will mainly interact with this function. It takes
33some normal branches and gives out a decision tree that has "labels" at all
34the leafs and a dictionary that maps these "labels" to the code that should
37If 2 or more leaves point to the same label, we need to do some tricks in JS to
38make that work nicely. When is JS getting goto?! ;) That is outside the scope
41compile :: VariantDict -> [(CPattern, Int)] -> DecisionTree Jump
42compile variantDict rawBranches =
44 format (pattern, index) =
45 Branch index [(Empty, pattern)]
47 toDecisionTree variantDict (map format rawBranches)
50{-| When a certain union type is defined, you specify a certain number of tags.
51This helps us do a few optimizations:
53 * If there is only one possible tag, we can always skip checking what it is.
54 Tuples are a common example of this.
55 * If we use all possible tags, we can skip doing the last test. If we have
56 checked N-1 of N tags, there is no need to test the Nth, we know its the
59So this dictionary maps tags to the number of variants that exist, so it'll
60contain things like [ ("Just", 2), ("Nothing", 2), ("_Tuple2", 1), ... ] which
61we can use for these optimizations.
64 Map.Map Var.Home (Map.Map String Int)
73 , _edges :: [(Test, DecisionTree a)]
74 , _default :: Maybe (DecisionTree a)
81 , _substitutions :: [(String, Path)]
86 = Constructor Var.Canonical
101add :: Path -> Path -> Path
108 error "nothing should be added to an alias path"
110 Position index subpath ->
111 Position index (add subpath finalLink)
113 Field name subpath ->
114 Field name (add subpath finalLink)
117subPositions :: Path -> [CPattern] -> [(Path, CPattern)]
118subPositions path patterns =
120 (\index pattern -> (add path (Position index Empty), pattern))
125-- ACTUALLY BUILD DECISION TREES
130 , _patterns :: [(Path, CPattern)]
134toDecisionTree :: VariantDict -> [Branch] -> DecisionTree Jump
135toDecisionTree variantDict rawBranches =
138 map (flattenPatterns variantDict) rawBranches
140 case checkForMatch branches of
141 Just (goal, substitutions) ->
142 Match (Jump goal substitutions)
147 pickPath variantDict branches
150 gatherEdges variantDict branches path
153 map (second (toDecisionTree variantDict)) edges
155 case (decisionEdges, fallback) of
156 ([(_tag, decisionTree)], []) ->
160 Decision path decisionEdges Nothing
163 toDecisionTree variantDict fallback
166 Decision path decisionEdges (Just (toDecisionTree variantDict fallback))
169isComplete :: VariantDict -> [Test] -> Bool
170isComplete variantDict tests =
173 getArity variantDict var == length tests
175 Literal (L.Boolean _) ->
182getArity :: VariantDict -> Var.Canonical -> Int
183getArity variantDict (Var.Canonical home name) =
184 case Map.lookup name =<< Map.lookup home variantDict of
189 if Help.isTuple name then
194 "Since the Optimize phase happens after canonicalization and type \
195 \inference, it is impossible that a pattern cannot be found."
200{-| Flatten type aliases and use the VariantDict to figure out when a tag is
201the only variant so we can skip doing any tests on it.
203flattenPatterns :: VariantDict -> Branch -> Branch
204flattenPatterns variantDict (Branch goal pathPatterns) =
205 Branch goal (concatMap (flatten variantDict) pathPatterns)
208flatten :: VariantDict -> (Path, CPattern) -> [(Path, CPattern)]
209flatten variantDict pathPattern@(path, A.A ann pattern) =
217 P.Alias alias realPattern ->
218 [ (add path Alias, A.A ann (P.Var alias))
219 , (path, realPattern)
225 P.Data tag patterns ->
226 if getArity variantDict tag == 1 then
227 concatMap (flatten variantDict) (subPositions path patterns)
238{-| If the first branch has no more "decision points" we can finally take that
239path. If that is the case we give the resulting label and a mapping from free
240variables to "how to get their value". So a pattern like (Just (x,_)) will give
241us something like ("x" => value.0.0)
243checkForMatch :: [Branch] -> Maybe (Int, [(String, Path)])
244checkForMatch branches =
246 Branch goal patterns : _ ->
247 (,) goal `fmap` concat `fmap` mapM getSubstitution patterns
253getSubstitution :: (Path, CPattern) -> Maybe [(String, Path)]
254getSubstitution (path, A.A _ pattern) =
263 error "aliases should never reach 'getSubstitution' function"
266 Just (map (\name -> (name, add path (Field name Empty))) fields)
275-- GATHER OUTGOING EDGES
277gatherEdges :: VariantDict -> [Branch] -> Path -> ([(Test, [Branch])], [Branch])
278gatherEdges variantDict branches path =
281 testsAtPath path branches
284 map (edgesFor path branches) relevantTests
286 if isComplete variantDict relevantTests then
288 , snd (last allRawEdges)
293 , filter (isIrrelevantTo path) branches
297-- FIND RELEVANT TESTS
299testsAtPath :: Path -> [Branch] -> [Test]
300testsAtPath selectedPath branches =
303 Maybe.mapMaybe (testAtPath selectedPath) branches
305 skipVisited test curr@(uniqueTests, visitedTests) =
306 if Set.member test visitedTests then
310 , Set.insert test visitedTests
313 fst (foldr skipVisited ([], Set.empty) allTests)
316testAtPath :: Path -> Branch -> Maybe Test
317testAtPath selectedPath (Branch _ pathPatterns) =
318 case List.lookup selectedPath pathPatterns of
322 Just (A.A _ pattern) ->
325 Just (Constructor name)
334 error "aliases should never reach 'testAtPath' function"
345edgesFor :: Path -> [Branch] -> Test -> (Test, [Branch])
346edgesFor path branches test =
348 , Maybe.mapMaybe (toRelevantBranch test path) branches
352toRelevantBranch :: Test -> Path -> Branch -> Maybe Branch
353toRelevantBranch test path branch@(Branch goal pathPatterns) =
354 case extract path pathPatterns of
355 Just (start, A.A _ pattern, end) ->
357 P.Data name patterns ->
358 if test == Constructor name then
359 Just (Branch goal (start ++ subPositions path patterns ++ end))
365 if test == Literal lit then
366 Just (Branch goal (start ++ end))
380 -> [(Path, CPattern)]
381 -> Maybe ([(Path, CPattern)], CPattern, [(Path, CPattern)])
382extract selectedPath pathPatterns =
387 first@(path, pattern) : rest ->
388 if path == selectedPath then
389 Just ([], pattern, rest)
392 case extract selectedPath rest of
396 Just (start, foundPattern, end) ->
397 Just (first : start, foundPattern, end)
400-- FIND IRRELEVANT BRANCHES
402isIrrelevantTo :: Path -> Branch -> Bool
403isIrrelevantTo selectedPath (Branch _ pathPatterns) =
404 case List.lookup selectedPath pathPatterns of
409 not (needsTests pattern)
412needsTests :: CPattern -> Bool
413needsTests (A.A _ pattern) =
422 error "aliases should never reach 'isIrrelevantTo' function"
436pickPath :: VariantDict -> [Branch] -> Path
437pickPath variantDict branches =
440 Maybe.mapMaybe isChoicePath (concatMap _patterns branches)
442 case bests (addWeights (smallDefaults branches) allPaths) of
447 head (bests (addWeights (smallBranchingFactor variantDict branches) tiedPaths))
450isChoicePath :: (Path, CPattern) -> Maybe Path
451isChoicePath (path, pattern) =
452 if needsTests pattern then
458addWeights :: (Path -> Int) -> [Path] -> [(Path, Int)]
459addWeights toWeight paths =
460 map (\path -> (path, toWeight path)) paths
463bests :: [(Path, Int)] -> [Path]
464bests ((path,weight):weightedPaths) =
466 gatherMinimum acc@(minWeight, paths) (path, weight) =
467 if weight == minWeight then
468 (minWeight, path : paths)
470 else if weight < minWeight then
476 snd (List.foldl' gatherMinimum (weight, [path]) weightedPaths)
479-- PATH PICKING HEURISTICS
481smallDefaults :: [Branch] -> Path -> Int
482smallDefaults branches path =
483 length (filter (isIrrelevantTo path) branches)
486smallBranchingFactor :: VariantDict -> [Branch] -> Path -> Int
487smallBranchingFactor variantDict branches path =
490 gatherEdges variantDict branches path
492 length edges + (if null fallback then 0 else 1)
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