Safe Haskell	None

Derive.C.Prelude.ControlFunction

Contents

cf-swing
cf-clamp
curve interpolators
DeriveT.Dynamic
- ControlRef
misc

Description

Calls and functions for DeriveT.ControlFunctions.

Synopsis

library :: Library.Library
make_call :: Maybe Doc.Doc -> ControlUtil.CurveD -> (Expr.Symbol, ValCall)
data Distribution
- = Uniform
- | Normal
- | Bimodal
c_cf_rnd :: (Signal.Y -> Signal.Y -> Signal.Y) -> ValCall
c_cf_rnd_around :: (Signal.Y -> Signal.Y -> Signal.Y) -> ValCall
c_cf_rnd01 :: ValCall
cf_rnd :: Distribution -> Double -> Double -> [Double] -> Double
random_stream :: RealTime.RealTime -> Double -> [Double]
c_cf_swing :: ValCall
cf_swing :: (ScoreTime.ScoreTime -> RealTime.RealTime) -> Ruler.Rank -> Typecheck.Function -> Ruler.Marklist -> ScoreTime.ScoreTime -> RealTime.RealTime
marks_around :: Ruler.Rank -> Ruler.Marklist -> ScoreTime.ScoreTime -> Maybe (ScoreTime.ScoreTime, ScoreTime.ScoreTime)
swing :: ScoreTime.ScoreTime -> RealTime.RealTime
c_cf_clamp :: ValCall
cf_compose :: Text -> (Signal.Y -> Signal.Y) -> DeriveT.ControlFunction -> DeriveT.ControlFunction
curves :: [(Doc.Doc, ControlUtil.CurveD)]
dyn_seed :: DeriveT.Dynamic -> Double
dyn_control :: DeriveT.Dynamic -> ScoreT.Control -> RealTime.RealTime -> Double
real :: DeriveT.Dynamic -> ScoreTime.ScoreTime -> RealTime.RealTime
score :: DeriveT.Dynamic -> RealTime.RealTime -> ScoreTime.ScoreTime
to_function :: DeriveT.Dynamic -> Signal.Y -> DeriveT.ControlRef -> Typecheck.Function
to_typed_function :: DeriveT.Dynamic -> ScoreT.Typed Signal.Y -> DeriveT.ControlRef -> Typecheck.TypedFunction
to_signal_or_function :: DeriveT.Dynamic -> DeriveT.ControlRef -> Maybe (Either (ScoreT.Typed Signal.Control) DeriveT.ControlFunction)
val_call :: Typecheck.ToVal a => CallName -> Tags.Tags -> Doc.Doc -> WithArgDoc (PassedArgs Tagged -> Deriver a) -> ValCall

Documentation

library :: Library.Library Source #

make_call :: Maybe Doc.Doc -> ControlUtil.CurveD -> (Expr.Symbol, ValCall) Source #

data Distribution Source #

Constructors

Uniform
Normal	Approximate a bounded normal distribution.
Bimodal	This is like Normal, but rotated, so the peaks are at the extremities.

Instances

Instances details

Bounded Distribution #
Instance details Defined in Derive.C.Prelude.ControlFunction Methods minBound :: Distribution # maxBound :: Distribution #
Enum Distribution #
Instance details Defined in Derive.C.Prelude.ControlFunction Methods succ :: Distribution -> Distribution # pred :: Distribution -> Distribution # toEnum :: Int -> Distribution # fromEnum :: Distribution -> Int # enumFrom :: Distribution -> [Distribution] # enumFromThen :: Distribution -> Distribution -> [Distribution] # enumFromTo :: Distribution -> Distribution -> [Distribution] # enumFromThenTo :: Distribution -> Distribution -> Distribution -> [Distribution] #
Eq Distribution #
Instance details Defined in Derive.C.Prelude.ControlFunction Methods (==) :: Distribution -> Distribution -> Bool # (/=) :: Distribution -> Distribution -> Bool #
Show Distribution #
Instance details Defined in Derive.C.Prelude.ControlFunction Methods showsPrec :: Int -> Distribution -> ShowS # show :: Distribution -> String # showList :: [Distribution] -> ShowS #
ShowVal.ShowVal Distribution #
Instance details Defined in Derive.C.Prelude.ControlFunction Methods show_val :: Distribution -> Text Source #
Typecheck.Typecheck Distribution #
Instance details Defined in Derive.C.Prelude.ControlFunction Methods from_val :: DeriveT.Val -> Typecheck.Checked Distribution Source # to_type :: Proxy Distribution -> Type Source # from_subtrack :: Track -> Maybe Distribution Source #