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)
80 , _substitutions :: [(String, Path)]
85 = Constructor Var.Canonical
100add :: Path -> Path -> Path
107 error "nothing should be added to an alias path"
109 Position index subpath ->
110 Position index (add subpath finalLink)
112 Field name subpath ->
113 Field name (add subpath finalLink)
116subPositions :: Path -> [CPattern] -> [(Path, CPattern)]
117subPositions path patterns =
119 (\index pattern -> (add path (Position index Empty), pattern))
124-- ACTUALLY BUILD DECISION TREES
129 , _patterns :: [(Path, CPattern)]
133toDecisionTree :: VariantDict -> [Branch] -> DecisionTree Jump
134toDecisionTree variantDict rawBranches =
137 map (flattenPatterns variantDict) rawBranches
139 case checkForMatch branches of
140 Just (goal, substitutions) ->
141 Match (Jump goal substitutions)
146 pickPath variantDict branches
149 gatherEdges variantDict branches path
152 map (second (toDecisionTree variantDict)) edges
154 case (decisionEdges, fallback) of
155 ([(_tag, decisionTree)], []) ->
159 Decision path decisionEdges Nothing
162 Decision path decisionEdges (Just (toDecisionTree variantDict fallback))
165isComplete :: VariantDict -> [Test] -> Bool
166isComplete variantDict tests =
169 getArity variantDict var == length tests
171 Literal (L.Boolean _) ->
178getArity :: VariantDict -> Var.Canonical -> Int
179getArity variantDict (Var.Canonical home name) =
180 case Map.lookup name =<< Map.lookup home variantDict of
185 if Help.isTuple name then
190 "Since the Optimize phase happens after canonicalization and type \
191 \inference, it is impossible that a pattern cannot be found."
196{-| Flatten type aliases and use the VariantDict to figure out when a tag is
197the only variant so we can skip doing any tests on it.
199flattenPatterns :: VariantDict -> Branch -> Branch
200flattenPatterns variantDict (Branch goal pathPatterns) =
201 Branch goal (concatMap (flatten variantDict) pathPatterns)
204flatten :: VariantDict -> (Path, CPattern) -> [(Path, CPattern)]
205flatten variantDict pathPattern@(path, A.A ann pattern) =
213 P.Alias alias realPattern ->
214 [ (add path Alias, A.A ann (P.Var alias))
215 , (path, realPattern)
221 P.Data tag patterns ->
222 if getArity variantDict tag == 1 then
223 concatMap (flatten variantDict) (subPositions path patterns)
234{-| If the first branch has no more "decision points" we can finally take that
235path. If that is the case we give the resulting label and a mapping from free
236variables to "how to get their value". So a pattern like (Just (x,_)) will give
237us something like ("x" => value.0.0)
239checkForMatch :: [Branch] -> Maybe (Int, [(String, Path)])
240checkForMatch branches =
242 Branch goal patterns : _ ->
243 (,) goal `fmap` concat `fmap` mapM getSubstitution patterns
249getSubstitution :: (Path, CPattern) -> Maybe [(String, Path)]
250getSubstitution (path, A.A _ pattern) =
259 error "aliases should never reach 'getSubstitution' function"
262 Just (map (\name -> (name, add path (Field name Empty))) fields)
271-- GATHER OUTGOING EDGES
273gatherEdges :: VariantDict -> [Branch] -> Path -> ([(Test, [Branch])], [Branch])
274gatherEdges variantDict branches path =
277 testsAtPath path branches
280 map (edgesFor path branches) relevantTests
282 if isComplete variantDict relevantTests then
284 , snd (last allRawEdges)
289 , filter (isIrrelevantTo path) branches
293-- FIND RELEVANT TESTS
295testsAtPath :: Path -> [Branch] -> [Test]
296testsAtPath selectedPath branches =
299 Maybe.mapMaybe (testAtPath selectedPath) branches
301 skipVisited test curr@(uniqueTests, visitedTests) =
302 if Set.member test visitedTests then
306 , Set.insert test visitedTests
309 fst (foldr skipVisited ([], Set.empty) allTests)
312testAtPath :: Path -> Branch -> Maybe Test
313testAtPath selectedPath (Branch _ pathPatterns) =
314 case List.lookup selectedPath pathPatterns of
318 Just (A.A _ pattern) ->
321 Just (Constructor name)
330 error "aliases should never reach 'testAtPath' function"
341edgesFor :: Path -> [Branch] -> Test -> (Test, [Branch])
342edgesFor path branches test =
344 , Maybe.mapMaybe (toRelevantBranch test path) branches
348toRelevantBranch :: Test -> Path -> Branch -> Maybe Branch
349toRelevantBranch test path branch@(Branch goal pathPatterns) =
350 case extract path pathPatterns of
351 Just (start, A.A _ pattern, end) ->
353 P.Data name patterns ->
354 if test == Constructor name then
355 Just (Branch goal (start ++ subPositions path patterns ++ end))
361 if test == Literal lit then
362 Just (Branch goal (start ++ end))
376 -> [(Path, CPattern)]
377 -> Maybe ([(Path, CPattern)], CPattern, [(Path, CPattern)])
378extract selectedPath pathPatterns =
383 first@(path, pattern) : rest ->
384 if path == selectedPath then
385 Just ([], pattern, rest)
388 case extract selectedPath rest of
392 Just (start, foundPattern, end) ->
393 Just (first : start, foundPattern, end)
396-- FIND IRRELEVANT BRANCHES
398isIrrelevantTo :: Path -> Branch -> Bool
399isIrrelevantTo selectedPath (Branch _ pathPatterns) =
400 case List.lookup selectedPath pathPatterns of
405 not (needsTests pattern)
408needsTests :: CPattern -> Bool
409needsTests (A.A _ pattern) =
418 error "aliases should never reach 'isIrrelevantTo' function"
432pickPath :: VariantDict -> [Branch] -> Path
433pickPath variantDict branches =
436 Maybe.mapMaybe isChoicePath (concatMap _patterns branches)
438 case bests (addWeights (smallDefaults branches) allPaths) of
443 head (bests (addWeights (smallBranchingFactor variantDict branches) tiedPaths))
446isChoicePath :: (Path, CPattern) -> Maybe Path
447isChoicePath (path, pattern) =
448 if needsTests pattern then
454addWeights :: (Path -> Int) -> [Path] -> [(Path, Int)]
455addWeights toWeight paths =
456 map (\path -> (path, toWeight path)) paths
459bests :: [(Path, Int)] -> [Path]
460bests ((path,weight):weightedPaths) =
462 gatherMinimum acc@(minWeight, paths) (path, weight) =
463 if weight == minWeight then
464 (minWeight, path : paths)
466 else if weight < minWeight then
472 snd (List.foldl' gatherMinimum (weight, [path]) weightedPaths)
475-- PATH PICKING HEURISTICS
477smallDefaults :: [Branch] -> Path -> Int
478smallDefaults branches path =
479 length (filter (isIrrelevantTo path) branches)
482smallBranchingFactor :: VariantDict -> [Branch] -> Path -> Int
483smallBranchingFactor variantDict branches path =
486 gatherEdges variantDict branches path
488 length edges + (if null fallback then 0 else 1)
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