| ... |
... |
@@ -14,6 +14,9 @@ See Note [Unique Determinism] in GHC.Types.Unique for explanation why @Unique@ o |
|
14
|
14
|
is not deterministic.
|
|
15
|
15
|
-}
|
|
16
|
16
|
|
|
|
17
|
+{-# LANGUAGE MagicHash #-}
|
|
|
18
|
+{-# LANGUAGE UnboxedTuples #-}
|
|
|
19
|
+
|
|
17
|
20
|
{-# OPTIONS_GHC -Wall #-}
|
|
18
|
21
|
|
|
19
|
22
|
module GHC.Types.Unique.DFM (
|
| ... |
... |
@@ -79,6 +82,9 @@ import Data.Functor.Classes (Eq1 (..)) |
|
79
|
82
|
import Data.List (sortBy)
|
|
80
|
83
|
import Data.Function (on)
|
|
81
|
84
|
import GHC.Types.Unique.FM (UniqFM, nonDetUFMToList, ufmToIntMap, unsafeIntMapToUFM)
|
|
|
85
|
+import GHC.Data.SmallArray
|
|
|
86
|
+import GHC.Exts (State#)
|
|
|
87
|
+import GHC.ST (ST(..), runST)
|
|
82
|
88
|
import Unsafe.Coerce
|
|
83
|
89
|
import qualified GHC.Data.Word64Set as W
|
|
84
|
90
|
|
| ... |
... |
@@ -92,9 +98,10 @@ import qualified GHC.Data.Word64Set as W |
|
92
|
98
|
-- order then `udfmToList` returns them in deterministic order.
|
|
93
|
99
|
--
|
|
94
|
100
|
-- There is an implementation cost: each element is given a serial number
|
|
95
|
|
--- as it is added, and `udfmToList` sorts its result by this serial
|
|
96
|
|
--- number. So you should only use `UniqDFM` if you need the deterministic
|
|
|
101
|
+-- as it is added, and functions like `udfmToList` or `eltsUDFM` order their
|
|
|
102
|
+-- results by this serial number (see
|
|
|
103
|
+-- Note [Cost of deterministic iteration]). So you should only use `UniqDFM`
|
|
|
104
|
+-- if you need the deterministic property.
|
|
97
|
105
|
--
|
|
98
|
106
|
-- `foldUDFM` also preserves determinism.
|
|
99
|
107
|
--
|
| ... |
... |
@@ -112,13 +119,17 @@ import qualified GHC.Data.Word64Set as W |
|
112
|
119
|
--
|
|
113
|
120
|
-- An alternative would be to have
|
|
114
|
121
|
--
|
|
115
|
|
--- data UniqDFM ele = UDFM (M.IntMap ele) [ele]
|
|
|
122
|
+-- data UniqDFM ele = UDFM (Word64Map ele) [ele]
|
|
116
|
123
|
--
|
|
117
|
124
|
-- where the list determines the order. This makes deletion tricky as we'd
|
|
118
|
125
|
-- only accumulate elements in that list, but makes merging easier as you
|
|
119
|
126
|
-- can just merge both structures independently.
|
|
120
|
127
|
-- Deletion can probably be done in amortized fashion when the size of the
|
|
121
|
128
|
-- list is twice the size of the set.
|
|
|
129
|
+--
|
|
|
130
|
+-- data UniqDFM ele = UDFM (Word64Map ele) [Unique]
|
|
|
131
|
+--
|
|
|
132
|
+-- may also be worth considering. Compare Dhall.Map in the dhall package.
|
|
122
|
133
|
|
|
123
|
134
|
-- | A type of values tagged with insertion time
|
|
124
|
135
|
data TaggedVal val =
|
| ... |
... |
@@ -153,11 +164,15 @@ data UniqDFM key ele = |
|
153
|
164
|
-- time. See Note [Overflow on plusUDFM]
|
|
154
|
165
|
deriving (Data, Functor)
|
|
155
|
166
|
|
|
156
|
|
--- | Deterministic, in O(n log n).
|
|
|
167
|
+-- | Deterministic.
|
|
|
168
|
+--
|
|
|
169
|
+-- See Note [Cost of deterministic iteration].
|
|
157
|
170
|
instance Foldable (UniqDFM key) where
|
|
158
|
171
|
foldr = foldUDFM
|
|
159
|
172
|
|
|
160
|
|
--- | Deterministic, in O(n log n).
|
|
|
173
|
+-- | Deterministic.
|
|
|
174
|
+--
|
|
|
175
|
+-- See Note [Cost of deterministic iteration].
|
|
161
|
176
|
instance Traversable (UniqDFM key) where
|
|
162
|
177
|
traverse f = fmap listToUDFM_Directly
|
|
163
|
178
|
. traverse (\(u,a) -> (u,) <$> f a)
|
| ... |
... |
@@ -310,13 +325,20 @@ elemUDFM :: Uniquable key => key -> UniqDFM key elt -> Bool |
|
310
|
325
|
elemUDFM k (UDFM m _i) = M.member (getKey $ getUnique k) m
|
|
311
|
326
|
|
|
312
|
327
|
-- | Performs a deterministic fold over the UniqDFM.
|
|
313
|
|
--- It's O(n log n) while the corresponding function on `UniqFM` is O(n).
|
|
|
328
|
+--
|
|
|
329
|
+-- O(n) in the common case, with an O(n log n) fallback.
|
|
|
330
|
+--
|
|
|
331
|
+-- Don't use this to access the first element or to check for emptiness,
|
|
|
332
|
+-- as this already incurs most of the cost of returning the full list.
|
|
|
333
|
+-- See Note [Cost of deterministic iteration].
|
|
314
|
334
|
foldUDFM :: (elt -> a -> a) -> a -> UniqDFM key elt -> a
|
|
315
|
335
|
{-# INLINE foldUDFM #-}
|
|
316
|
336
|
-- This INLINE prevents a regression in !10568
|
|
317
|
337
|
foldUDFM k z m = foldr k z (eltsUDFM m)
|
|
318
|
338
|
|
|
319
|
|
--- | Like 'foldUDFM' but the function also receives a key
|
|
|
339
|
+-- | Like 'foldUDFM' but the function also receives a key.
|
|
|
340
|
+--
|
|
|
341
|
+-- See Note [Cost of deterministic iteration].
|
|
320
|
342
|
foldWithKeyUDFM :: (Unique -> elt -> a -> a) -> a -> UniqDFM key elt -> a
|
|
321
|
343
|
{-# INLINE foldWithKeyUDFM #-}
|
|
322
|
344
|
-- This INLINE was copied from foldUDFM
|
| ... |
... |
@@ -331,14 +353,90 @@ nonDetStrictFoldUDFM k z (UDFM m _i) = foldl' k' z m |
|
331
|
353
|
where
|
|
332
|
354
|
k' acc (TaggedVal v _) = k v acc
|
|
333
|
355
|
|
|
|
356
|
+-- Note [Cost of deterministic iteration]
|
|
|
357
|
+-- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
358
|
+-- Deterministic iteration orders elements by insertion tag, and any such
|
|
|
359
|
+-- ordering must inspect every element's tag before it can emit the first
|
|
|
360
|
+-- element. So even the head of the result costs a full traversal of the map
|
|
|
361
|
+-- plus the allocation of an O(n)-sized array -- or, on the fallback path,
|
|
|
362
|
+-- O(n log n) cons cells (see Note [Sorting a UDFM]). Laziness in the result
|
|
|
363
|
+-- list only avoids allocating for elements that are never demanded; it does
|
|
|
364
|
+-- not make the iteration incremental. #27459 shows this cost biting in
|
|
|
365
|
+-- consumers that demanded only the head.
|
|
|
366
|
+--
|
|
|
367
|
+-- So: to test for emptiness, use isNullUDFM rather than null on eltsUDFM;
|
|
|
368
|
+-- for order-oblivious queries, prefer short-circuiting anyUDFM/allUDFM; and
|
|
|
369
|
+-- if you don't need the deterministic order at all, use the nonDet functions.
|
|
|
370
|
+
|
|
|
371
|
+-- | Deterministic, in order of insertion.
|
|
|
372
|
+--
|
|
|
373
|
+-- See Notes [Sorting a UDFM] and [Cost of deterministic iteration].
|
|
334
|
374
|
eltsUDFM :: UniqDFM key elt -> [elt]
|
|
335
|
375
|
{-# INLINE eltsUDFM #-}
|
|
336
|
376
|
-- The INLINE makes it a good producer (from the map)
|
|
337
|
|
-eltsUDFM (UDFM m _i) = map taggedFst (sort_it m)
|
|
|
377
|
+eltsUDFM (UDFM m i)
|
|
|
378
|
+ | n <= 1 = map taggedFst (M.elems m)
|
|
|
379
|
+ | usePlacement n i = placementSort i (M.elems m)
|
|
|
380
|
+ | otherwise = map taggedFst (sort_it m)
|
|
|
381
|
+ where n = M.size m
|
|
338
|
382
|
|
|
339
|
383
|
sort_it :: M.Word64Map (TaggedVal elt) -> [TaggedVal elt]
|
|
340
|
384
|
sort_it m = sortBy (compare `on` taggedSnd) (M.elems m)
|
|
341
|
385
|
|
|
|
386
|
+
|
|
|
387
|
+-- Note [Sorting a UDFM]
|
|
|
388
|
+-- ~~~~~~~~~~~~~~~~~~~~~
|
|
|
389
|
+-- Deterministic iteration must order elements by insertion tag. Instead of a
|
|
|
390
|
+-- comparison sort -- the list mergesort behind sortBy allocates ~n*log n cons
|
|
|
391
|
+-- cells -- we exploit the invariant that in (UDFM m i) all tags are distinct
|
|
|
392
|
+-- Ints in [0, i): allocate an array of size i, write each element at
|
|
|
393
|
+-- @index = tag@, freeze, and read out in index order. That's O(i) work (which
|
|
|
394
|
+-- subsumes the O(n) fill, since distinct tags force n <= i), no comparisons,
|
|
|
395
|
+-- and the readout is lazy, so consumers that demand only a prefix pay almost
|
|
|
396
|
+-- nothing beyond the fill (but the fill itself is unavoidable; see
|
|
|
397
|
+-- Note [Cost of deterministic iteration]).
|
|
|
398
|
+--
|
|
|
399
|
+-- Holes: slots whose tag never occurs keep the initial sentinel, a TaggedVal
|
|
|
400
|
+-- with tag -1. Real tags are non-negative, so the readout skips on tag < 0;
|
|
|
401
|
+-- the sentinel's value field is never touched (it is unsafeCoerced ()).
|
|
|
402
|
+--
|
|
|
403
|
+-- This sorting method loses when i is much larger than n: i never shrinks
|
|
|
404
|
+-- (overwrites keep bumping it, delete/filter shrink n but not i). We compute
|
|
|
405
|
+-- n = M.size m (O(n), cheap next to either sort) and fall back to the
|
|
|
406
|
+-- mergesort when i > 4 * n. Maps built by plain insertion -- the common
|
|
|
407
|
+-- case -- have i == n. The guard also caps the fast path's O(i) at O(n).
|
|
|
408
|
+
|
|
|
409
|
+usePlacement :: Int -> Int -> Bool
|
|
|
410
|
+usePlacement n i = i <= 4 * n
|
|
|
411
|
+
|
|
|
412
|
+-- | Order a list of 'TaggedVal's by tag, by placing each at array index =
|
|
|
413
|
+-- its tag.
|
|
|
414
|
+--
|
|
|
415
|
+-- The tags must be distinct and in @[0, i)@.
|
|
|
416
|
+-- See Note [Sorting a UDFM].
|
|
|
417
|
+placementSort :: forall r. Int -> [TaggedVal r] -> [r]
|
|
|
418
|
+placementSort i tvs = runST (ST (\s0 ->
|
|
|
419
|
+ case newSmallArray i hole s0 of
|
|
|
420
|
+ (# s1, marr #) -> case fill marr tvs s1 of
|
|
|
421
|
+ s2 -> case unsafeFreezeSmallArray marr s2 of
|
|
|
422
|
+ (# s3, arr #) -> (# s3, readout arr 0 #)))
|
|
|
423
|
+ where
|
|
|
424
|
+ hole :: TaggedVal r
|
|
|
425
|
+ hole = TaggedVal (unsafeCoerce ()) (-1)
|
|
|
426
|
+
|
|
|
427
|
+ fill :: SmallMutableArray s (TaggedVal r) -> [TaggedVal r] -> State# s -> State# s
|
|
|
428
|
+ fill _ [] s = s
|
|
|
429
|
+ fill marr (tv : tvs') s =
|
|
|
430
|
+ case writeSmallArray marr (taggedSnd tv) tv s of
|
|
|
431
|
+ s' -> fill marr tvs' s'
|
|
|
432
|
+
|
|
|
433
|
+ readout :: SmallArray (TaggedVal r) -> Int -> [r]
|
|
|
434
|
+ readout arr j
|
|
|
435
|
+ | j >= i = []
|
|
|
436
|
+ | t < 0 = readout arr (j + 1)
|
|
|
437
|
+ | otherwise = v : readout arr (j + 1)
|
|
|
438
|
+ where TaggedVal v t = indexSmallArray arr j
|
|
|
439
|
+
|
|
342
|
440
|
filterUDFM :: (elt -> Bool) -> UniqDFM key elt -> UniqDFM key elt
|
|
343
|
441
|
filterUDFM p (UDFM m i) = UDFM (M.filter (\(TaggedVal v _) -> p v) m) i
|
|
344
|
442
|
|
| ... |
... |
@@ -356,11 +454,25 @@ udfmRestrictKeysSet (UDFM val_set i) set = |
|
356
|
454
|
in UDFM (M.restrictKeys val_set key_set) i
|
|
357
|
455
|
|
|
358
|
456
|
-- | Converts `UniqDFM` to a list, with elements in deterministic order.
|
|
359
|
|
--- It's O(n log n) while the corresponding function on `UniqFM` is O(n).
|
|
|
457
|
+--
|
|
|
458
|
+-- O(n) in the common case, with an O(n log n) fallback.
|
|
|
459
|
+--
|
|
|
460
|
+-- Don't use this to access the first element or to check for emptiness,
|
|
|
461
|
+-- as this already incurs most of the cost of returning the full list.
|
|
|
462
|
+-- See Note [Cost of deterministic iteration].
|
|
360
|
463
|
udfmToList :: UniqDFM key elt -> [(Unique, elt)]
|
|
361
|
|
-udfmToList (UDFM m _i) =
|
|
362
|
|
- [ (mkUniqueGrimily k, taggedFst v)
|
|
363
|
|
- | (k, v) <- sortBy (compare `on` (taggedSnd . snd)) $ M.toList m ]
|
|
|
464
|
+udfmToList (UDFM m i)
|
|
|
465
|
+ | n <= 1 = [ (mkUniqueGrimily k, taggedFst v) | (k, v) <- M.toList m ]
|
|
|
466
|
+ -- Unlike eltsUDFM, this allocates a fresh TaggedVal + pair per element
|
|
|
467
|
+ -- before the sort. If it ever matters, a parallel Word64 array of
|
|
|
468
|
+ -- keys filled in the same pass would avoid the eager boxes.
|
|
|
469
|
+ | usePlacement n i = placementSort i
|
|
|
470
|
+ (M.foldrWithKey (\k tv rest ->
|
|
|
471
|
+ TaggedVal (mkUniqueGrimily k, taggedFst tv) (taggedSnd tv) : rest) [] m)
|
|
|
472
|
+ | otherwise =
|
|
|
473
|
+ [ (mkUniqueGrimily k, taggedFst v)
|
|
|
474
|
+ | (k, v) <- sortBy (compare `on` (taggedSnd . snd)) $ M.toList m ]
|
|
|
475
|
+ where n = M.size m
|
|
364
|
476
|
|
|
365
|
477
|
-- Determines whether two 'UniqDFM's contain the same keys.
|
|
366
|
478
|
equalKeysUDFM :: UniqDFM key a -> UniqDFM key b -> Bool
|