DFMonad

Documentation

data DataflowLattice a

Constructors

DataflowLattice

fact_name :: String
fact_bot :: a
fact_add_to :: a -> a -> TxRes a	compute join of two args; something changed iff join is greater than 2nd arg
fact_do_logging :: Bool

class DataflowAnalysis m where

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Methods

markFactsUnchanged

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:: m f ()

Useful for starting a new iteration

factsStatus :: m f ChangeFlag

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subAnalysis

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:: m f a
-> m f a	Do a new analysis and then throw away all the related state.

getFact :: BlockId -> m f f

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setFact :: Outputable f => BlockId -> f -> m f ()

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getExitFact :: m f f

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setExitFact :: Outputable f => f -> m f ()

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checkFactMatch

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:: Outputable f
=> BlockId
-> f
-> m f ()	assert fact already at this val

botFact :: m f f

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forgetFact :: BlockId -> m f ()

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addLastOutFact :: (BlockId, f) -> m f ()

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It might be surprising these next two are needed in a pure analysis, but for some problems we do a shallow rewriting in which a rewritten graph is not itself considered for further rewriting but merely undergoes an analysis. In this case the results of a forward analysis might produce new facts that go on BlockId's that reside outside the graph being analyzed. Thus these lastOutFacts need to be available even in a pure analysis.

bareLastOutFacts :: m f [(BlockId, f)]

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forgetLastOutFacts :: m f ()

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getAllFacts :: m f (BlockEnv f)

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setAllFacts :: BlockEnv f -> m f ()

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factsEnv :: Monad (m f) => m f (BlockId -> f)

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