{-# LANGUAGE TypeSynonymInstances, FlexibleInstances, OverloadedStrings #-} {- UI.hs - Tidal's main 'user interface' functions, for transforming patterns, building on the Core ones. Copyright (C) 2020, Alex McLean and contributors This library is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this library. If not, see . -} {-| This module provides the main user interface functions, including sources of randomness and transformations of patterns. All these functions are available in the context of the TidalCycles REPL. Many functions in this module taking 'Pattern' values as arguments have a corresponding function with an underscore prepended to its name (e.g. 'degradeBy' and '_degradeBy'). These functions accept plain values, not 'Pattern's, and are generally intended for those developing or extending Tidal. -} module Sound.Tidal.UI where import Prelude hiding ((<*), (*>)) import Data.Char (digitToInt, isDigit, ord) import Data.Bits (testBit, Bits, xor, shiftL, shiftR) import Data.Ratio ((%), Ratio) import Data.Fixed (mod') import Data.List (sort, sortOn, findIndices, elemIndex, groupBy, transpose, intercalate, findIndex) import Data.Maybe (isJust, fromJust, fromMaybe, mapMaybe) import qualified Data.Text as T import qualified Data.Map.Strict as Map import Data.Bool (bool) import Sound.Tidal.Bjorklund (bjorklund) import Sound.Tidal.Core import qualified Sound.Tidal.Params as P import Sound.Tidal.Pattern import Sound.Tidal.Utils ------------------------------------------------------------------------ -- * UI -- ** Randomisation {-| An implementation of the well-known @xorshift@ random number generator. Given a seed number, generates a reasonably random number out of it. This is an efficient algorithm suitable for use in tight loops and used to implement the below functions, which are used to implement 'rand'. See George Marsaglia (2003). ["Xorshift RNGs"](@https://www.jstatsoft.org/article/view/v008i14@), in Journal of Statistical Software, pages 8–14. -} xorwise :: Int -> Int xorwise x = let a = xor (shiftL x 13) x b = xor (shiftR a 17) a in xor (shiftL b 5) b -- stretch 300 cycles over the range of [0,2**29 == 536870912) then apply the xorshift algorithm timeToIntSeed :: RealFrac a => a -> Int timeToIntSeed = xorwise . truncate . (* 536870912) . snd . (properFraction :: (RealFrac a => a -> (Int,a))) . (/ 300) intSeedToRand :: Fractional a => Int -> a intSeedToRand = (/ 536870912) . realToFrac . (`mod` 536870912) timeToRand :: (RealFrac a, Fractional b) => a -> b timeToRand = intSeedToRand . timeToIntSeed timeToRands :: (RealFrac a, Fractional b) => a -> Int -> [b] timeToRands t n = timeToRands' (timeToIntSeed t) n timeToRands' :: Fractional a => Int -> Int -> [a] timeToRands' seed n | n <= 0 = [] | otherwise = (intSeedToRand seed) : (timeToRands' (xorwise seed) (n-1)) {-| `rand` generates a continuous pattern of (pseudo-)random numbers between @0@ and @1@. @ sound "bd*8" # pan rand @ pans bass drums randomly, and @ sound "sn sn ~ sn" # gain rand @ makes the snares randomly loud and quiet. Numbers coming from this pattern are \'seeded\' by time. So if you reset time (using 'resetCycles', 'setCycle', or 'cps') the random pattern will emit the exact same _random_ numbers again. In cases where you need two different random patterns, you can shift one of them around to change the time from which the _random_ pattern is read, note the difference: @ jux (# gain rand) $ sound "sn sn ~ sn" # gain rand @ and with the juxed version shifted backwards for 1024 cycles: @ jux (# ((1024 <~) $ gain rand)) $ sound "sn sn ~ sn" # gain rand @ -} rand :: Fractional a => Pattern a rand = Pattern (\(State a@(Arc s e) _) -> [Event (Context []) Nothing a (realToFrac $ (timeToRand ((e + s)/2) :: Double))]) -- | Boolean rand - a continuous stream of true\/false values, with a 50\/50 chance. brand :: Pattern Bool brand = _brandBy 0.5 -- | Boolean rand with probability as input, e.g. @brandBy 0.25@ produces trues 25% of the time. brandBy :: Pattern Double -> Pattern Bool brandBy probpat = innerJoin $ (\prob -> _brandBy prob) <$> probpat _brandBy :: Double -> Pattern Bool _brandBy prob = fmap (< prob) rand {- | Just like `rand` but for whole numbers, @irand n@ generates a pattern of (pseudo-) random whole numbers between @0@ to @n-1@ inclusive. Notably used to pick a random samples from a folder: @ d1 $ segment 4 $ n (irand 5) # sound "drum" @ -} irand :: Num a => Pattern Int -> Pattern a irand = (>>= _irand) _irand :: Num a => Int -> Pattern a _irand i = fromIntegral . (floor :: Double -> Int) . (* fromIntegral i) <$> rand {- | 1D Perlin (smooth) noise, works like rand but smoothly moves between random values each cycle. `perlinWith` takes a pattern as the RNG's "input" instead of automatically using the cycle count. @ d1 $ s "arpy*32" # cutoff (perlinWith (saw * 4) * 2000) @ will generate a smooth random pattern for the cutoff frequency which will repeat every cycle (because the saw does) The `perlin` function uses the cycle count as input and can be used much like @rand@. -} perlinWith :: Fractional a => Pattern Double -> Pattern a perlinWith p = fmap realToFrac $ (interp) <$> (p-pa) <*> (timeToRand <$> pa) <*> (timeToRand <$> pb) where pa = (fromIntegral :: Int -> Double) . floor <$> p pb = (fromIntegral :: Int -> Double) . (+1) . floor <$> p interp x a b = a + smootherStep x * (b-a) smootherStep x = 6.0 * x**5 - 15.0 * x**4 + 10.0 * x**3 -- | As 'perlin' with a suitable choice of input pattern (@'sig' 'fromRational'@). perlin :: Fractional a => Pattern a perlin = perlinWith (sig fromRational) {-| `perlin2With` is Perlin noise with a 2-dimensional input. This can be useful for more control over how the randomness repeats (or doesn't). @ d1 $ s "[supersaw:-12*32]" # lpf (rangex 60 5000 $ perlin2With (cosine*2) (sine*2)) # lpq 0.3 @ will generate a smooth random cutoff pattern that repeats every cycle without any reversals or discontinuities (because the 2D path is a circle). `perlin2` only needs one input because it uses the cycle count as the second input. -} perlin2With :: Pattern Double -> Pattern Double -> Pattern Double perlin2With x y = (/2) . (+1) $ interp2 <$> xfrac <*> yfrac <*> dota <*> dotb <*> dotc <*> dotd where fl = fmap ((fromIntegral :: Int -> Double) . floor) ce = fmap ((fromIntegral :: Int -> Double) . (+1) . floor) xfrac = x - fl x yfrac = y - fl y randAngle a b = 2 * pi * timeToRand (a + 0.0001 * b) pcos x' y' = cos $ randAngle <$> x' <*> y' psin x' y' = sin $ randAngle <$> x' <*> y' dota = pcos (fl x) (fl y) * xfrac + psin (fl x) (fl y) * yfrac dotb = pcos (ce x) (fl y) * (xfrac - 1) + psin (ce x) (fl y) * yfrac dotc = pcos (fl x) (ce y) * xfrac + psin (fl x) (ce y) * (yfrac - 1) dotd = pcos (ce x) (ce y) * (xfrac - 1) + psin (ce x) (ce y) * (yfrac - 1) interp2 x' y' a b c d = (1.0 - s x') * (1.0 - s y') * a + s x' * (1.0 - s y') * b + (1.0 - s x') * s y' * c + s x' * s y' * d s x' = 6.0 * x'**5 - 15.0 * x'**4 + 10.0 * x'**3 -- | As 'perlin2' with a suitable choice of input pattern (@'sig' 'fromRational'@). perlin2 :: Pattern Double -> Pattern Double perlin2 = perlin2With (sig fromRational) {- | Randomly picks an element from the given list @ sound "superpiano(3,8)" # note (choose ["a", "e", "g", "c"]) @ plays a melody randomly choosing one of the four notes \"a\", \"e\", \"g\", \"c\". -} choose :: [a] -> Pattern a choose = chooseBy rand {- | Given a pattern of doubles, 'chooseBy' normalizes them so that each corresponds to an index in the provided list. The returned pattern contains the corresponding elements in the list. @'choose' = chooseBy 'rand'@ -} chooseBy :: Pattern Double -> [a] -> Pattern a chooseBy _ [] = silence chooseBy f xs = (xs !!!) . floor <$> range 0 (fromIntegral $ length xs) f {- | Like @choose@, but works on an a list of tuples of values and weights @ sound "superpiano(3,8)" # note (wchoose [("a",1), ("e",0.5), ("g",2), ("c",1)]) @ In the above example, the "a" and "c" notes are twice as likely to play as the "e" note, and half as likely to play as the "g" note. -} wchoose :: [(a,Double)] -> Pattern a wchoose = wchooseBy rand {- | Given a pattern of probabilities and an list of @(value, weight)@ pairs, 'wchooseBy' creates a @'Pattern' value@ by choosing values based on those probabilities and, weighted appropriately by the weights in the list of pairs. @'wchoose' = wchooseBy 'rand'@ -} wchooseBy :: Pattern Double -> [(a,Double)] -> Pattern a wchooseBy pat pairs = match <$> pat where match r = values !! head (findIndices (> (r*total)) cweights) cweights = scanl1 (+) (map snd pairs) values = map fst pairs total = sum $ map snd pairs -- | @randcat ps@: does a @slowcat@ on the list of patterns @ps@ but -- randomises the order in which they are played. randcat :: [Pattern a] -> Pattern a randcat ps = spread' rotL (_segment 1 $ (% 1) . fromIntegral <$> (_irand (length ps) :: Pattern Int)) (slowcat ps) -- | As 'randcat', but allowing weighted choice. wrandcat :: [(Pattern a, Double)] -> Pattern a wrandcat ps = unwrap $ wchooseBy (segment 1 rand) ps {- | `degrade` randomly removes events from a pattern 50% of the time: @ d1 $ slow 2 $ degrade $ sound "[[[feel:5*8,feel*3] feel:3*8], feel*4]" # accelerate "-6" # speed "2" @ The shorthand syntax for `degrade` is a question mark: `?`. Using `?` will allow you to randomly remove events from a portion of a pattern: @ d1 $ slow 2 $ sound "bd ~ sn bd ~ bd? [sn bd?] ~" @ You can also use `?` to randomly remove events from entire sub-patterns: @ d1 $ slow 2 $ sound "[[[feel:5*8,feel*3] feel:3*8]?, feel*4]" @ -} degrade :: Pattern a -> Pattern a degrade = _degradeBy 0.5 {- | Similar to `degrade`, `degradeBy` allows you to control the percentage of events that are removed. For example, to remove events 90% of the time: @ d1 $ slow 2 $ degradeBy 0.9 $ sound "[[[feel:5*8,feel*3] feel:3*8], feel*4]" # accelerate "-6" # speed "2" @ You can also invoke this behavior in the shorthand notation by specifying a percentage, as a number between 0 and 1, after the question mark: @ d1 $ s "bd hh?0.8 bd hh?0.4" @ -} degradeBy :: Pattern Double -> Pattern a -> Pattern a degradeBy = tParam _degradeBy _degradeBy :: Double -> Pattern a -> Pattern a _degradeBy = _degradeByUsing rand -- Useful for manipulating random stream, e.g. to change 'seed' _degradeByUsing :: Pattern Double -> Double -> Pattern a -> Pattern a _degradeByUsing prand x p = fmap fst $ filterValues ((> x) . snd) $ (,) <$> p <* prand {-| As 'degradeBy', but the pattern of probabilities represents the chances to retain rather than remove the corresponding element. -} unDegradeBy :: Pattern Double -> Pattern a -> Pattern a unDegradeBy = tParam _unDegradeBy _unDegradeBy :: Double -> Pattern a -> Pattern a _unDegradeBy x p = fmap fst $ filterValues ((<= x) . snd) $ (,) <$> p <* rand degradeOverBy :: Int -> Pattern Double -> Pattern a -> Pattern a degradeOverBy i tx p = unwrap $ (\x -> fmap fst $ filterValues ((> x) . snd) $ (,) <$> p <* fastRepeatCycles i rand) <$> slow (fromIntegral i) tx {- | Use @sometimesBy@ to apply a given function "sometimes". For example, the following code results in @density 2@ being applied about 25% of the time: @ d1 $ sometimesBy 0.25 (density 2) $ sound "bd*8" @ There are some aliases as well: @ 'sometimes' = sometimesBy 0.5 'often' = sometimesBy 0.75 'rarely' = sometimesBy 0.25 'almostNever' = sometimesBy 0.1 'almostAlways' = sometimesBy 0.9 @ -} sometimesBy :: Pattern Double -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a sometimesBy x f pat = overlay (degradeBy x pat) (f $ unDegradeBy x pat) {- | As 'sometimesBy', but applies the given transformation to the pattern in its entirety before filtering its actual appearances. Less efficient than 'sometimesBy' but may be useful when the passed pattern transformation depends on properties of the pattern before probabilities are taken into account. @ 'sometimes'' = sometimesBy' 0.5 'often'' = sometimesBy' 0.75 'rarely'' = sometimesBy' 0.25 'almostNever'' = sometimesBy' 0.1 'almostAlways'' = sometimesBy' 0.9 @ -} sometimesBy' :: Pattern Double -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a sometimesBy' x f pat = overlay (degradeBy x pat) (unDegradeBy x $ f pat) -- | @sometimes@ is an alias for @sometimesBy 0.5@. sometimes :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a sometimes = sometimesBy 0.5 sometimes' :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a sometimes' = sometimesBy' 0.5 -- | @often@ is an alias for @sometimesBy 0.75@. often :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a often = sometimesBy 0.75 often' :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a often' = sometimesBy' 0.75 -- | @rarely@ is an alias for @sometimesBy 0.25@. rarely :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a rarely = sometimesBy 0.25 rarely' :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a rarely' = sometimesBy' 0.25 -- | @almostNever@ is an alias for @sometimesBy 0.1@. almostNever :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a almostNever = sometimesBy 0.1 almostNever' :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a almostNever' = sometimesBy 0.1 -- | @almostAlways@ is an alias for @sometimesBy 0.9@. almostAlways :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a almostAlways = sometimesBy 0.9 almostAlways' :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a almostAlways' = sometimesBy' 0.9 {-| Never apply a transformation, returning the pattern unmodified. @never = flip const@ -} never :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a never = flip const {-| Apply the transformation to the pattern unconditionally. @always = id@ -} always :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a always = id {- | @someCyclesBy@ is a cycle-by-cycle version of @'sometimesBy'@. @someCycles = someCyclesBy 0.5@ -} someCyclesBy :: Pattern Double -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a someCyclesBy pd f pat = innerJoin $ (\d -> _someCyclesBy d f pat) <$> pd _someCyclesBy :: Double -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a _someCyclesBy x = when test where test c = timeToRand (fromIntegral c :: Double) < x somecyclesBy :: Pattern Double -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a somecyclesBy = someCyclesBy -- | @someCycles = someCyclesBy 0.5@ someCycles :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a someCycles = someCyclesBy 0.5 somecycles :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a somecycles = someCycles -- ** Pattern transformations {- | Pattern transformations are functions generally of type @'Pattern' a -> 'Pattern' a@. This means they take a pattern of any type and return a pattern of that type. This transformation makes a pattern sound a bit like a breakbeat. Example: @ d1 $ sound (brak "bd sn kurt") @ -} brak :: Pattern a -> Pattern a brak = when ((== 1) . (`mod` 2)) (((1%4) `rotR`) . (\x -> fastcat [x, silence])) {- | Divides a pattern into a given number of subdivisions, plays the subdivisions in order, but increments the starting subdivision each cycle. The pattern wraps to the first subdivision after the last subdivision is played. Example: @ d1 $ iter 4 $ sound "bd hh sn cp" @ This will produce the following over four cycles: @ bd hh sn cp hh sn cp bd sn cp bd hh cp bd hh sn @ There is also `iter'`, which shifts the pattern in the opposite direction. -} iter :: Pattern Int -> Pattern c -> Pattern c iter = tParam _iter _iter :: Int -> Pattern a -> Pattern a _iter n p = slowcat $ map (\i -> (fromIntegral i % fromIntegral n) `rotL` p) [0 .. (n-1)] -- | @iter'@ is the same as @iter@, but decrements the starting -- subdivision instead of incrementing it. iter' :: Pattern Int -> Pattern c -> Pattern c iter' = tParam _iter' _iter' :: Int -> Pattern a -> Pattern a _iter' n p = slowcat $ map (\i -> (fromIntegral i % fromIntegral n) `rotR` p) [0 .. (n-1)] -- | @palindrome p@ applies @rev@ to @p@ every other cycle, so that -- the pattern alternates between forwards and backwards. palindrome :: Pattern a -> Pattern a palindrome p = slowAppend p (rev p) -- | Degrades a pattern over the given time. fadeOut :: Time -> Pattern a -> Pattern a fadeOut dur p = innerJoin $ (`_degradeBy` p) <$> _slow dur envL -- | Alternate version to @fadeOut@ where you can provide the time from which the fade starts fadeOutFrom :: Time -> Time -> Pattern a -> Pattern a fadeOutFrom from dur p = innerJoin $ (`_degradeBy` p) <$> (from `rotR` _slow dur envL) -- | ’Undegrades’ a pattern over the given time. fadeIn :: Time -> Pattern a -> Pattern a fadeIn dur p = innerJoin $ (`_degradeBy` p) <$> _slow dur envLR -- | Alternate version to @fadeIn@ where you can provide the time from -- which the fade in starts fadeInFrom :: Time -> Time -> Pattern a -> Pattern a fadeInFrom from dur p = innerJoin $ (`_degradeBy` p) <$> (from `rotR` _slow dur envLR) {- | The 'spread' function allows you to take a pattern transformation which takes a parameter, such as `slow`, and provide several parameters which are switched between. In other words it 'spreads' a function across several values. Taking a simple high hat loop as an example: @ d1 $ sound "ho ho:2 ho:3 hc" @ We can slow it down by different amounts, such as by a half: @ d1 $ slow 2 $ sound "ho ho:2 ho:3 hc" @ Or by four thirds (i.e. speeding it up by a third; @4%3@ means four over three): @ d1 $ slow (4%3) $ sound "ho ho:2 ho:3 hc" @ But if we use `spread`, we can make a pattern which alternates between the two speeds: @ d1 $ spread slow [2,4%3] $ sound "ho ho:2 ho:3 hc" @ Note that if you pass @($)@ as the function to spread values over, you can put functions as the list of values. ('spreadf' is an alias for @spread ($)@.) For example: @ d1 $ spread ($) [density 2, rev, slow 2, striate 3, (# speed "0.8")] $ sound "[bd*2 [~ bd]] [sn future]*2 cp jvbass*4" @ Above, the pattern will have these transforms applied to it, one at a time, per cycle: * cycle 1: @density 2@ - pattern will increase in speed * cycle 2: @rev@ - pattern will be reversed * cycle 3: @slow 2@ - pattern will decrease in speed * cycle 4: @striate 3@ - pattern will be granualized * cycle 5: @(# speed "0.8")@ - pattern samples will be played back more slowly After @(# speed "0.8")@, the transforms will repeat and start at @density 2@ again. -} spread :: (a -> t -> Pattern b) -> [a] -> t -> Pattern b spread f xs p = slowcat $ map (`f` p) xs -- | An alias for 'spread' consistent with 'fastspread'. slowspread :: (a -> t -> Pattern b) -> [a] -> t -> Pattern b slowspread = spread {- | @fastspread@ works the same as `spread`, but the result is squashed into a single cycle. If you gave four values to @spread@, then the result would seem to speed up by a factor of four. Compare these two: @ d1 $ spread chop [4,64,32,16] $ sound "ho ho:2 ho:3 hc" d1 $ fastspread chop [4,64,32,16] $ sound "ho ho:2 ho:3 hc" @ There is also `slowspread`, which is an alias of @spread@. -} fastspread :: (a -> t -> Pattern b) -> [a] -> t -> Pattern b fastspread f xs p = fastcat $ map (`f` p) xs {- | There's a version of this function, `spread'` (pronounced "spread prime"), which takes a /pattern/ of parameters, instead of a list: @ d1 $ spread' slow "2 4%3" $ sound "ho ho:2 ho:3 hc" @ This is quite a messy area of Tidal—due to a slight difference of implementation this sounds completely different! One advantage of using `spread'` though is that you can provide polyphonic parameters, e.g.: @ d1 $ spread' slow "[2 4%3, 3]" $ sound "ho ho:2 ho:3 hc" @ -} spread' :: Monad m => (a -> b -> m c) -> m a -> b -> m c spread' f vpat pat = vpat >>= \v -> f v pat {- | @spreadChoose f xs p@ is similar to `slowspread` but picks values from `xs` at random, rather than cycling through them in order. -} spreadChoose :: (t -> t1 -> Pattern b) -> [t] -> t1 -> Pattern b spreadChoose f vs p = do v <- _segment 1 (choose vs) f v p -- | A shorter alias for 'spreadChoose'. spreadr :: (t -> t1 -> Pattern b) -> [t] -> t1 -> Pattern b spreadr = spreadChoose {-| Decide whether to apply one or another function depending on the result of a test function that is passed the current cycle as a number. @ d1 $ ifp ((== 0).(flip mod 2)) (striate 4) (# coarse "24 48") $ sound "hh hc" @ This will apply @'striate' 4@ for every _even_ cycle and apply @# coarse "24 48"@ for every _odd_. Detail: As you can see the test function is arbitrary and does not rely on anything tidal specific. In fact it uses only plain haskell functionality, that is: it calculates the modulo of 2 of the current cycle which is either 0 (for even cycles) or 1. It then compares this value against 0 and returns the result, which is either `True` or `False`. This is what the `ifp` signature's first part signifies `(Int -> Bool)`, a function that takes a whole number and returns either `True` or `False`. -} ifp :: (Int -> Bool) -> (Pattern a -> Pattern a) -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a ifp test f1 f2 p = splitQueries $ p {query = q} where q a | test (floor $ start $ arc a) = query (f1 p) a | otherwise = query (f2 p) a -- | @wedge t p p'@ combines patterns @p@ and @p'@ by squashing the -- @p@ into the portion of each cycle given by @t@, and @p'@ into the -- remainer of each cycle. wedge :: Pattern Time -> Pattern a -> Pattern a -> Pattern a wedge pt pa pb = innerJoin $ (\t -> _wedge t pa pb) <$> pt _wedge :: Time -> Pattern a -> Pattern a -> Pattern a _wedge 0 _ p' = p' _wedge 1 p _ = p _wedge t p p' = overlay (_fastGap (1/t) p) (t `rotR` _fastGap (1/(1-t)) p') {- | @whenmod@ has a similar form and behavior to `every`, but requires an additional number. Applies the function to the pattern, when the remainder of the current loop number divided by the first parameter, is greater or equal than the second parameter. For example the following makes every other block of four loops twice as dense: @ d1 $ whenmod 8 4 (density 2) (sound "bd sn kurt") @ -} whenmod :: Pattern Time -> Pattern Time -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a whenmod a b f pat = innerJoin $ (\a' b' -> _whenmod a' b' f pat) <$> a <*> b _whenmod :: Time -> Time -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a _whenmod a b = whenT (\t -> ((t `mod'` a) >= b )) {- | @ superimpose f p = stack [p, f p] @ `superimpose` plays a modified version of a pattern at the same time as the original pattern, resulting in two patterns being played at the same time. @ d1 $ superimpose (density 2) $ sound "bd sn [cp ht] hh" d1 $ superimpose ((# speed "2") . (0.125 <~)) $ sound "bd sn cp hh" @ -} superimpose :: (Pattern a -> Pattern a) -> Pattern a -> Pattern a superimpose f p = stack [p, f p] {- | @trunc@ truncates a pattern so that only a fraction of the pattern is played. The following example plays only the first quarter of the pattern: @ d1 $ trunc 0.25 $ sound "bd sn*2 cp hh*4 arpy bd*2 cp bd*2" @ -} trunc :: Pattern Time -> Pattern a -> Pattern a trunc = tParam _trunc _trunc :: Time -> Pattern a -> Pattern a _trunc t = compress (0, t) . zoomArc (Arc 0 t) {- | @linger@ is similar to `trunc` but the truncated part of the pattern loops until the end of the cycle. @ d1 $ linger 0.25 $ sound "bd sn*2 cp hh*4 arpy bd*2 cp bd*2" @ If you give it a negative number, it will linger on the last part of the pattern, instead of the start of it. E.g. to linger on the last quarter: @ d1 $ linger (-0.25) $ sound "bd sn*2 cp hh*4 arpy bd*2 cp bd*2" @ -} linger :: Pattern Time -> Pattern a -> Pattern a linger = tParam _linger _linger :: Time -> Pattern a -> Pattern a _linger n p | n < 0 = _fast (1/n) $ zoomArc (Arc (1 + n) 1) p | otherwise = _fast (1/n) $ zoomArc (Arc 0 n) p {- | Use `within` to apply a function to only a part of a pattern. For example, to apply `density 2` to only the first half of a pattern: @ d1 $ within (0, 0.5) (density 2) $ sound "bd*2 sn lt mt hh hh hh hh" @ Or, to apply `(# speed "0.5") to only the last quarter of a pattern: @ d1 $ within (0.75, 1) (# speed "0.5") $ sound "bd*2 sn lt mt hh hh hh hh" @ -} within :: (Time, Time) -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a within (s, e) f p = stack [filterWhen (\t -> cyclePos t >= s && cyclePos t < e) $ f p, filterWhen (\t -> not $ cyclePos t >= s && cyclePos t < e) p ] withinArc :: Arc -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a withinArc (Arc s e) = within (s, e) {- | For many cases, @within'@ will function exactly as within. The difference between the two occurs when applying functions that change the timing of notes such as 'fast' or '<~'. within first applies the function to all notes in the cycle, then keeps the results in the specified interval, and then combines it with the old cycle (an "apply split combine" paradigm). within' first keeps notes in the specified interval, then applies the function to these notes, and then combines it with the old cycle (a "split apply combine" paradigm). For example, whereas using the standard version of within @ d1 $ within (0, 0.25) (fast 2) $ sound "bd hh cp sd" @ sounds like: @ d1 $ sound "[bd hh] hh cp sd" @ using this alternative version, within' @ d1 $ within' (0, 0.25) (fast 2) $ sound "bd hh cp sd" @ sounds like: @ d1 $ sound "[bd bd] hh cp sd" @ -} within' :: (Time, Time) -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a within' a@(s, e) f p = stack [ filterWhen (\t -> cyclePos t >= s && cyclePos t < e) $ compress a $ f $ zoom a p , filterWhen (\t -> not $ cyclePos t >= s && cyclePos t < e) p ] {-| Reverse the part of the pattern sliced out by the @(start, end)@ pair. @revArc a = within a rev@ -} revArc :: (Time, Time) -> Pattern a -> Pattern a revArc a = within a rev {- | You can use the @euclid@ function to apply a Euclidean algorithm over a complex pattern, although the structure of that pattern will be lost: @ d1 $ euclid 3 8 $ sound "bd*2 [sn cp]" @ In the above, three sounds are picked from the pattern on the right according to the structure given by the @euclid 3 8@. It ends up picking two @bd@ sounds, a @cp@ and missing the @sn@ entirely. A negative first argument provides the inverse of the euclidean pattern. These types of sequences use "Bjorklund's algorithm", which wasn't made for music but for an application in nuclear physics, which is exciting. More exciting still is that it is very similar in structure to the one of the first known algorithms written in Euclid's book of elements in 300 BC. You can read more about this in the paper [The Euclidean Algorithm Generates Traditional Musical Rhythms](http://cgm.cs.mcgill.ca/~godfried/publications/banff.pdf) by Toussaint. Some examples from this paper are included below, including rotation as a third parameter in some cases (see 'euclidOff'). @ - (2,5) : A thirteenth century Persian rhythm called Khafif-e-ramal. - (3,4) : The archetypal pattern of the Cumbia from Colombia, as well as a Calypso rhythm from Trinidad. - (3,5,2) : Another thirteenth century Persian rhythm by the name of Khafif-e-ramal, as well as a Rumanian folk-dance rhythm. - (3,7) : A Ruchenitza rhythm used in a Bulgarian folk-dance. - (3,8) : The Cuban tresillo pattern. - (4,7) : Another Ruchenitza Bulgarian folk-dance rhythm. - (4,9) : The Aksak rhythm of Turkey. - (4,11) : The metric pattern used by Frank Zappa in his piece titled Outside Now. - (5,6) : Yields the York-Samai pattern, a popular Arab rhythm. - (5,7) : The Nawakhat pattern, another popular Arab rhythm. - (5,8) : The Cuban cinquillo pattern. - (5,9) : A popular Arab rhythm called Agsag-Samai. - (5,11) : The metric pattern used by Moussorgsky in Pictures at an Exhibition. - (5,12) : The Venda clapping pattern of a South African children’s song. - (5,16) : The Bossa-Nova rhythm necklace of Brazil. - (7,8) : A typical rhythm played on the Bendir (frame drum). - (7,12) : A common West African bell pattern. - (7,16,14) : A Samba rhythm necklace from Brazil. - (9,16) : A rhythm necklace used in the Central African Republic. - (11,24,14) : A rhythm necklace of the Aka Pygmies of Central Africa. - (13,24,5) : Another rhythm necklace of the Aka Pygmies of the upper Sangha. @ There was once a shorter alias @e@ for this function. It has been removed, but you may see references to it in older Tidal code. -} euclid :: Pattern Int -> Pattern Int -> Pattern a -> Pattern a euclid = tParam2 _euclid _euclid :: Int -> Int -> Pattern a -> Pattern a _euclid n k a | n >= 0 = fastcat $ fmap (bool silence a) $ bjorklund (n,k) | otherwise = fastcat $ fmap (bool a silence) $ bjorklund (-n,k) {- | @euclidFull n k pa pb@ stacks @'euclid' n k pa@ with @'euclidInv' n k pb@. For example, to implement the traditional flamenco rhythm, you could use hard claps for the former and soft claps for the latter: @d1 $ euclidFull 3 7 "realclaps" ("realclaps" # gain 0.8)@ -} euclidFull :: Pattern Int -> Pattern Int -> Pattern a -> Pattern a -> Pattern a euclidFull n k pa pb = stack [ euclid n k pa, euclidInv n k pb ] -- | Less expressive than 'euclid' due to its constrained types, but may be more efficient. _euclidBool :: Int -> Int -> Pattern Bool -- TODO: add 'euclidBool'? _euclidBool n k = fastFromList $ bjorklund (n,k) _euclid' :: Int -> Int -> Pattern a -> Pattern a _euclid' n k p = fastcat $ map (\x -> if x then p else silence) (bjorklund (n,k)) {- | As 'euclid', but taking a third rotational parameter corresponding to the onset at which to start the rhythm. -} euclidOff :: Pattern Int -> Pattern Int -> Pattern Int -> Pattern a -> Pattern a euclidOff = tParam3 _euclidOff -- | A shorter alias for 'euclidOff'. eoff :: Pattern Int -> Pattern Int -> Pattern Int -> Pattern a -> Pattern a eoff = euclidOff _euclidOff :: Int -> Int -> Int -> Pattern a -> Pattern a _euclidOff _ 0 _ _ = silence _euclidOff n k s p = (rotL $ fromIntegral s%fromIntegral k) (_euclid n k p) -- | As 'euclidOff', but specialized to 'Bool'. May be more efficient than 'euclidOff'. euclidOffBool :: Pattern Int -> Pattern Int -> Pattern Int -> Pattern Bool -> Pattern Bool euclidOffBool = tParam3 _euclidOffBool _euclidOffBool :: Int -> Int -> Int -> Pattern Bool -> Pattern Bool _euclidOffBool _ 0 _ _ = silence _euclidOffBool n k s p = ((fromIntegral s % fromIntegral k) `rotL`) ((\a b -> if b then a else not a) <$> _euclidBool n k <*> p) distrib :: [Pattern Int] -> Pattern a -> Pattern a distrib ps p = do p' <- sequence ps _distrib p' p _distrib :: [Int] -> Pattern a -> Pattern a _distrib xs p = boolsToPat (foldr distrib' (replicate (last xs) True) (reverse $ layers xs)) p where distrib' :: [Bool] -> [Bool] -> [Bool] distrib' [] _ = [] distrib' (_:a) [] = False : distrib' a [] distrib' (True:a) (x:b) = x : distrib' a b distrib' (False:a) b = False : distrib' a b layers = map bjorklund . (zip<*>tail) boolsToPat a b' = flip const <$> filterValues (== True) (fastFromList a) <* b' {- | `euclidInv` fills in the blanks left by `euclid`. Whereas @euclid 3 8 "x"@ produces @"x ~ ~ x ~ ~ x ~"@, @euclidInv 3 8 "x"@ produces @"~ x x ~ x x ~ x"@. -} euclidInv :: Pattern Int -> Pattern Int -> Pattern a -> Pattern a euclidInv = tParam2 _euclidInv _euclidInv :: Int -> Int -> Pattern a -> Pattern a _euclidInv n k a = _euclid (-n) k a index :: Real b => b -> Pattern b -> Pattern c -> Pattern c index sz indexpat pat = spread' (zoom' $ toRational sz) (toRational . (*(1-sz)) <$> indexpat) pat where zoom' tSz s = zoomArc (Arc s (s+tSz)) {- -- | @prrw f rot (blen, vlen) beatPattern valuePattern@: pattern rotate/replace. prrw :: (a -> b -> c) -> Int -> (Time, Time) -> Pattern a -> Pattern b -> Pattern c prrw f rot (blen, vlen) beatPattern valuePattern = let ecompare (_,e1,_) (_,e2,_) = compare (fst e1) (fst e2) beats = sortBy ecompare $ arc beatPattern (0, blen) values = fmap thd' . sortBy ecompare $ arc valuePattern (0, vlen) cycles = blen * (fromIntegral $ lcm (length beats) (length values) `div` (length beats)) in _slow cycles $ stack $ zipWith (\( _, (start, end), v') v -> (start `rotR`) $ densityGap (1 / (end - start)) $ pure (f v' v)) (sortBy ecompare $ arc (_fast cycles $ beatPattern) (0, blen)) (drop (rot `mod` length values) $ cycle values) -- | @prr rot (blen, vlen) beatPattern valuePattern@: pattern rotate/replace. prr :: Int -> (Time, Time) -> Pattern String -> Pattern b -> Pattern b prr = prrw $ flip const {-| @preplace (blen, plen) beats values@ combines the timing of @beats@ with the values of @values@. Other ways of saying this are: * sequential convolution * @values@ quantized to @beats@. Examples: @ d1 $ sound $ preplace (1,1) "x [~ x] x x" "bd sn" d1 $ sound $ preplace (1,1) "x(3,8)" "bd sn" d1 $ sound $ "x(3,8)" <~> "bd sn" d1 $ sound "[jvbass jvbass:5]*3" |+| (shape $ "1 1 1 1 1" <~> "0.2 0.9") @ It is assumed the pattern fits into a single cycle. This works well with pattern literals, but not always with patterns defined elsewhere. In those cases use @preplace@ and provide desired pattern lengths: @ let p = slow 2 $ "x x x" d1 $ sound $ preplace (2,1) p "bd sn" @ -} preplace :: (Time, Time) -> Pattern String -> Pattern b -> Pattern b preplace = preplaceWith $ flip const -- | @prep@ is an alias for preplace. prep :: (Time, Time) -> Pattern String -> Pattern b -> Pattern b prep = preplace preplace1 :: Pattern String -> Pattern b -> Pattern b preplace1 = preplace (1, 1) preplaceWith :: (a -> b -> c) -> (Time, Time) -> Pattern a -> Pattern b -> Pattern c preplaceWith f (blen, plen) = prrw f 0 (blen, plen) prw :: (a -> b -> c) -> (Time, Time) -> Pattern a -> Pattern b -> Pattern c prw = preplaceWith preplaceWith1 :: (a -> b -> c) -> Pattern a -> Pattern b -> Pattern c preplaceWith1 f = prrw f 0 (1, 1) prw1 :: (a -> b -> c) -> Pattern a -> Pattern b -> Pattern c prw1 = preplaceWith1 (<~>) :: Pattern String -> Pattern b -> Pattern b (<~>) = preplace (1, 1) -- | @protate len rot p@ rotates pattern @p@ by @rot@ beats to the left. -- @len@: length of the pattern, in cycles. -- Example: @d1 $ every 4 (protate 2 (-1)) $ slow 2 $ sound "bd hh hh hh"@ protate :: Time -> Int -> Pattern a -> Pattern a protate len rot p = prrw (flip const) rot (len, len) p p prot :: Time -> Int -> Pattern a -> Pattern a prot = protate prot1 :: Int -> Pattern a -> Pattern a prot1 = protate 1 {-| The @<<~@ operator rotates a unit pattern to the left, similar to @<~@, but by events rather than linear time. The timing of the pattern remains constant: @ d1 $ (1 <<~) $ sound "bd ~ sn hh" -- will become d1 $ sound "sn ~ hh bd" @ -} (<<~) :: Int -> Pattern a -> Pattern a (<<~) = protate 1 -- | @~>>@ is like @<<~@ but for shifting to the right. (~>>) :: Int -> Pattern a -> Pattern a (~>>) = (<<~) . (0-) -- | @pequal cycles p1 p2@: quickly test if @p1@ and @p2@ are the same. pequal :: Ord a => Time -> Pattern a -> Pattern a -> Bool pequal cycles p1 p2 = (sort $ arc p1 (0, cycles)) == (sort $ arc p2 (0, cycles)) -} -- | @rot n p@ rotates the values in a pattern @p@ by @n@ beats to the left. -- Example: @d1 $ every 4 (rot 2) $ slow 2 $ sound "bd hh hh hh"@ rot :: Ord a => Pattern Int -> Pattern a -> Pattern a rot = tParam _rot -- | Calculates a whole cycle, rotates it, then constrains events to the original query arc. _rot :: Ord a => Int -> Pattern a -> Pattern a _rot i pat = splitQueries $ pat {query = \st -> f st (query pat (st {arc = wholeCycle (arc st)}))} where -- TODO maybe events with the same arc (part+whole) should be -- grouped together in the rotation? f st es = constrainEvents (arc st) $ shiftValues $ sort $ defragParts es shiftValues es | i >= 0 = zipWith (\e s -> e {value = s}) es (drop i $ cycle $ map value es) | otherwise = zipWith (\e s -> e{value = s}) es (drop (length es - abs i) $ cycle $ map value es) wholeCycle (Arc s _) = Arc (sam s) (nextSam s) constrainEvents :: Arc -> [Event a] -> [Event a] constrainEvents a es = mapMaybe (constrainEvent a) es constrainEvent :: Arc -> Event a -> Maybe (Event a) constrainEvent a e = do p' <- subArc (part e) a return e {part = p'} -- | @segment n p@: ’samples’ the pattern @p@ at a rate of @n@ -- events per cycle. Useful for turning a continuous pattern into a -- discrete one. segment :: Pattern Time -> Pattern a -> Pattern a segment = tParam _segment _segment :: Time -> Pattern a -> Pattern a _segment n p = _fast n (pure id) <* p -- | @discretise@: the old (deprecated) name for 'segment' discretise :: Pattern Time -> Pattern a -> Pattern a discretise = segment -- @fromNote p@: converts a pattern of human-readable pitch names -- into pitch numbers. For example, @"cs2"@ will be parsed as C Sharp -- in the 2nd octave with the result of @11@, and @"b-3"@ as -- @-25@. Pitches can be decorated using: -- -- * s = Sharp, a half-step above (@"gs-1"@) -- * f = Flat, a half-step below (@"gf-1"@) -- * n = Natural, no decoration (@"g-1" and "gn-1"@ are equivalent) -- * ss = Double sharp, a whole step above (@"gss-1"@) -- * ff = Double flat, a whole step below (@"gff-1"@) -- -- Note that TidalCycles now assumes that middle C is represented by -- the value 0, rather than the previous value of 60. This function -- is similar to previously available functions @tom@ and @toMIDI@, -- but the default octave is now 0 rather than 5. {- definition moved to Parse.hs .. toMIDI :: Pattern String -> Pattern Int toMIDI p = fromJust <$> (filterValues (isJust) (noteLookup <$> p)) where noteLookup :: String -> Maybe Int noteLookup [] = Nothing noteLookup s | not (last s `elem` ['0' .. '9']) = noteLookup (s ++ "0") | not (isLetter (s !! 1)) = noteLookup((head s):'n':(tail s)) | otherwise = parse s parse x = (\a b c -> a+b+c) <$> pc x <*> sym x <*> Just(12*digitToInt (last x)) pc x = lookup (head x) [('c',0),('d',2),('e',4),('f',5),('g',7),('a',9),('b',11)] sym x = lookup (init (tail x)) [("s",1),("f",-1),("n",0),("ss",2),("ff",-2)] -} -- @tom p@: Alias for @toMIDI@. -- tom = toMIDI {- | The `fit` function takes a pattern of integer numbers, which are used to select values from the given list. What makes this a bit strange is that only a given number of values are selected each cycle. For example: @ d1 $ sound (fit 3 ["bd", "sn", "arpy", "arpy:1", "casio"] "0 [~ 1] 2 1") @ The above fits three samples into the pattern, i.e. for the first cycle this will be `"bd"`, `"sn"` and `"arpy"`, giving the result `"bd [~ sn] arpy sn"` (note that we start counting at zero, so that `0` picks the first value). The following cycle the *next* three values in the list will be picked, i.e. `"arpy:1"`, `"casio"` and `"bd"`, giving the pattern `"arpy:1 [~ casio] bd casio"` (note that the list wraps round here). -} fit :: Pattern Int -> [a] -> Pattern Int -> Pattern a fit pint xs p = (tParam func) pint (xs,p) where func i (xs',p') = _fit i xs' p' _fit :: Int -> [a] -> Pattern Int -> Pattern a _fit perCycle xs p = (xs !!!) <$> (p {query = map (\e -> fmap (+ pos e) e) . query p}) where pos e = perCycle * floor (start $ part e) permstep :: RealFrac b => Int -> [a] -> Pattern b -> Pattern a permstep nSteps things p = unwrap $ (\n -> fastFromList $ concatMap (\x -> replicate (fst x) (snd x)) $ zip (ps !! floor (n * fromIntegral (length ps - 1))) things) <$> _segment 1 p where ps = permsort (length things) nSteps deviance avg xs = sum $ map (abs . (avg-) . fromIntegral) xs permsort n total = map fst $ sortOn snd $ map (\x -> (x,deviance (fromIntegral total / (fromIntegral n :: Double)) x)) $ perms n total perms 0 _ = [] perms 1 n = [[n]] perms n total = concatMap (\x -> map (x:) $ perms (n-1) (total-x)) [1 .. (total-(n-1))] -- | @struct a b@: structures pattern @b@ in terms of the pattern of -- boolean values @a@. Only @True@ values in the boolean pattern are -- used. struct :: Pattern Bool -> Pattern a -> Pattern a struct ps pv = filterJust $ (\a b -> if a then Just b else Nothing ) <$> ps <* pv -- | @substruct a b@: similar to @struct@, but each event in pattern @a@ gets replaced with pattern @b@, compressed to fit the timespan of the event. substruct :: Pattern Bool -> Pattern b -> Pattern b substruct s p = p {query = f} where f st = concatMap ((\a' -> queryArc (compressArcTo a' p) a') . wholeOrPart) $ filter value $ query s st randArcs :: Int -> Pattern [Arc] randArcs n = do rs <- mapM (\x -> pure (toRational x / toRational n) <~ choose [1 :: Int,2,3]) [0 .. (n-1)] let rats = map toRational rs total = sum rats pairs = pairUp $ accumulate $ map (/total) rats return pairs where pairUp [] = [] pairUp xs = Arc 0 (head xs) : pairUp' xs pairUp' [] = [] pairUp' [_] = [] pairUp' [a, _] = [Arc a 1] pairUp' (a:b:xs) = Arc a b: pairUp' (b:xs) -- TODO - what does this do? Something for @stripe@ .. randStruct :: Int -> Pattern Int randStruct n = splitQueries $ Pattern {query = f} where f st = map (\(a,b,c) -> Event (Context []) (Just a) (fromJust b) c) $ filter (\(_,x,_) -> isJust x) as where as = map (\(i, Arc s' e') -> (Arc (s' + sam s) (e' + sam s), subArc (Arc s e) (Arc (s' + sam s) (e' + sam s)), i)) $ enumerate $ value $ head $ queryArc (randArcs n) (Arc (sam s) (nextSam s)) (Arc s e) = arc st -- TODO - what does this do? substruct' :: Pattern Int -> Pattern a -> Pattern a substruct' s p = p {query = \st -> concatMap (f st) (query s st)} where f st (Event c (Just a') _ i) = map (\e -> e {context = combineContexts [c, context e]}) $ queryArc (compressArcTo a' (inside (pure $ 1/toRational(length (queryArc s (Arc (sam (start $ arc st)) (nextSam (start $ arc st)))))) (rotR (toRational i)) p)) a' -- Ignore analog events (ones without wholes) f _ _ = [] -- | @stripe n p@: repeats pattern @p@, @n@ times per cycle. So -- similar to @fast@, but with random durations. The repetitions will -- be continguous (touching, but not overlapping) and the durations -- will add up to a single cycle. @n@ can be supplied as a pattern of -- integers. stripe :: Pattern Int -> Pattern a -> Pattern a stripe = tParam _stripe _stripe :: Int -> Pattern a -> Pattern a _stripe = substruct' . randStruct -- | @slowstripe n p@ is the same as @stripe@, but the result is also -- @n@ times slower, so that the mean average duration of the stripes -- is exactly one cycle, and every @n@th stripe starts on a cycle -- boundary (in Indian classical terms, the /sam/). slowstripe :: Pattern Int -> Pattern a -> Pattern a slowstripe n = slow (toRational <$> n) . stripe n -- Lindenmayer patterns, these go well with the step sequencer -- general rule parser (strings map to strings) parseLMRule :: String -> [(String,String)] parseLMRule s = map (splitOn ':') commaSplit where splitOn sep str = splitAt (fromJust $ elemIndex sep str) $ filter (/= sep) str commaSplit = map T.unpack $ T.splitOn (T.pack ",") $ T.pack s -- specific parser for step sequencer (chars map to string) -- ruleset in form "a:b,b:ab" parseLMRule' :: String -> [(Char, String)] parseLMRule' str = map fixer $ parseLMRule str where fixer (c,r) = (head c, r) {- | Returns the `n`th iteration of a [Lindenmayer System](https://en.wikipedia.org/wiki/L-system) with given start sequence. An example @ lindenmayer 1 "a:b,b:ab" "ab" -> "bab" @ -} lindenmayer :: Int -> String -> String -> String lindenmayer _ _ [] = [] lindenmayer 1 r (c:cs) = fromMaybe [c] (lookup c $ parseLMRule' r) ++ lindenmayer 1 r cs lindenmayer n r s = iterate (lindenmayer 1 r) s !! n {- | @lindenmayerI@ converts the resulting string into a a list of integers with @fromIntegral@ applied (so they can be used seamlessly where floats or rationals are required) -} lindenmayerI :: Num b => Int -> String -> String -> [b] lindenmayerI n r s = fmap (fromIntegral . digitToInt) $ lindenmayer n r s {- | @runMarkov n tmat xi seed@ generates a Markov chain (as a list) of length @n@ using the transition matrix @tmat@ starting from initial state @xi@, starting with random numbers generated from @seed@ Each entry in the chain is the index of state (starting from zero). Each row of the matrix will be automatically normalized. For example: @ runMarkov 8 [[2,3], [1,3]] 0 0 @ will produce a two-state chain 8 steps long, from initial state @0@, where the transition probability from state 0->0 is 2/5, 0->1 is 3/5, 1->0 is 1/4, and 1->1 is 3/4. -} runMarkov :: Int -> [[Double]] -> Int -> Time -> [Int] runMarkov n tp xi seed = reverse $ (iterate (markovStep $ renorm) [xi])!! (n-1) where markovStep tp' xs = (fromJust $ findIndex (r <=) $ scanl1 (+) (tp'!!(head xs))) : xs where r = timeToRand $ seed + (fromIntegral . length) xs / fromIntegral n renorm = [ map (/ sum x) x | x <- tp ] {- @markovPat n xi tp@ generates a one-cycle pattern of @n@ steps in a Markov chain starting from state @xi@ with transition matrix @tp@. Each row of the transition matrix is automatically normalized. For example: @ tidal> markovPat 8 1 [[3,5,2], [4,4,2], [0,1,0]] (0>⅛)|1 (⅛>¼)|2 (¼>⅜)|1 (⅜>½)|1 (½>⅝)|2 (⅝>¾)|1 (¾>⅞)|1 (⅞>1)|0 @ -} markovPat :: Pattern Int -> Pattern Int -> [[Double]] -> Pattern Int markovPat = tParam2 _markovPat _markovPat :: Int -> Int -> [[Double]] -> Pattern Int _markovPat n xi tp = splitQueries $ Pattern (\(State a@(Arc s _) _) -> queryArc (listToPat $ runMarkov n tp xi (sam s)) a) {-| Removes events from second pattern that don't start during an event from first. Consider this, kind of messy rhythm without any rests. @ d1 $ sound (slowcat ["sn*8", "[cp*4 bd*4, hc*5]"]) # n (run 8) @ If we apply a mask to it @ d1 $ s (mask ("1 1 1 ~ 1 1 ~ 1" :: Pattern Bool) (slowcat ["sn*8", "[cp*4 bd*4, bass*5]"] )) # n (run 8) @ Due to the use of `slowcat` here, the same mask is first applied to `"sn*8"` and in the next cycle to `"[cp*4 bd*4, hc*5]". You could achieve the same effect by adding rests within the `slowcat` patterns, but mask allows you to do this more easily. It kind of keeps the rhythmic structure and you can change the used samples independently, e.g. @ d1 $ s (mask ("1 ~ 1 ~ 1 1 ~ 1") (slowcat ["can*8", "[cp*4 sn*4, jvbass*16]"] )) # n (run 8) @ -} mask :: Pattern Bool -> Pattern a -> Pattern a mask b p = const <$> p <* (filterValues id b) -- | TODO: refactor towards union enclosingArc :: [Arc] -> Arc enclosingArc [] = Arc 0 1 enclosingArc as = Arc (minimum (map start as)) (maximum (map stop as)) stretch :: Pattern a -> Pattern a -- TODO - should that be whole or part? stretch p = splitQueries $ p {query = q} where q st = query (zoomArc (cycleArc $ enclosingArc $ map wholeOrPart $ query p (st {arc = Arc (sam s) (nextSam s)})) p) st where s = start $ arc st {- | `fit'` is a generalization of `fit`, where the list is instead constructed by using another integer pattern to slice up a given pattern. The first argument is the number of cycles of that latter pattern to use when slicing. It's easier to understand this with a few examples: @ d1 $ sound (fit' 1 2 "0 1" "1 0" "bd sn") @ So what does this do? The first `1` just tells it to slice up a single cycle of `"bd sn"`. The `2` tells it to select two values each cycle, just like the first argument to `fit`. The next pattern `"0 1"` is the "from" pattern which tells it how to slice, which in this case means `"0"` maps to `"bd"`, and `"1"` maps to `"sn"`. The next pattern `"1 0"` is the "to" pattern, which tells it how to rearrange those slices. So the final result is the pattern `"sn bd"`. A more useful example might be something like @ d1 $ fit' 1 4 (run 4) "[0 3*2 2 1 0 3*2 2 [1*8 ~]]/2" $ chop 4 $ (sound "breaks152" # unit "c") @ which uses `chop` to break a single sample into individual pieces, which `fit'` then puts into a list (using the `run 4` pattern) and reassembles according to the complicated integer pattern. -} fit' :: Pattern Time -> Int -> Pattern Int -> Pattern Int -> Pattern a -> Pattern a fit' cyc n from to p = squeezeJoin $ _fit n mapMasks to where mapMasks = [stretch $ mask (const True <$> filterValues (== i) from') p' | i <- [0..n-1]] p' = density cyc p from' = density cyc from {-| Treats the given pattern @p@ as having @n@ chunks, and applies the function @f@ to one of those sections per cycle. Running: - from left to right if chunk number is positive - from right to left if chunk number is negative @ d1 $ chunk 4 (fast 4) $ sound "cp sn arpy [mt lt]" @ -} chunk :: Pattern Int -> (Pattern b -> Pattern b) -> Pattern b -> Pattern b chunk npat f p = innerJoin $ (\n -> _chunk n f p) <$> npat _chunk :: Integral a => a -> (Pattern b -> Pattern b) -> Pattern b -> Pattern b _chunk n f p | n >= 0 = cat [withinArc (Arc (i % fromIntegral n) ((i+1) % fromIntegral n)) f p | i <- [0 .. fromIntegral n - 1]] | otherwise = do i <- _slow (toRational (-n)) $ rev $ run (fromIntegral (-n)) withinArc (Arc (i % fromIntegral (-n)) ((i+1) % fromIntegral (-n))) f p -- | DEPRECATED, use 'chunk' with negative numbers instead chunk' :: Integral a1 => Pattern a1 -> (Pattern a2 -> Pattern a2) -> Pattern a2 -> Pattern a2 chunk' npat f p = innerJoin $ (\n -> _chunk' n f p) <$> npat -- | DEPRECATED, use '_chunk' with negative numbers instead _chunk' :: Integral a => a -> (Pattern b -> Pattern b) -> Pattern b -> Pattern b _chunk' n f p = _chunk (-n) f p {-| @inside@ carries out an operation /inside/ a cycle. For example, while @rev "0 1 2 3 4 5 6 7"@ is the same as @"7 6 5 4 3 2 1 0"@, @inside 2 rev "0 1 2 3 4 5 6 7"@ gives @"3 2 1 0 7 6 5 4"@. -} inside :: Pattern Time -> (Pattern a1 -> Pattern a) -> Pattern a1 -> Pattern a inside np f p = innerJoin $ (\n -> _inside n f p) <$> np _inside :: Time -> (Pattern a1 -> Pattern a) -> Pattern a1 -> Pattern a _inside n f p = _fast n $ f (_slow n p) {-| @outside@ is the inverse of the 'inside' function. @outside@ applies its function /outside/ the cycle. Say you have a pattern that takes 4 cycles to repeat and apply the rev function: @ d1 $ rev $ cat [s "bd bd sn",s "sn sn bd", s"lt lt sd", s "sd sd bd"] @ The above generates: @ d1 $ rev $ cat [s "sn bd bd",s "bd sn sn", s "sd lt lt", s "bd sd sd"] @ However if you apply @outside@: @ d1 $ outside 4 (rev) $ cat [s "bd bd sn",s "sn sn bd", s"lt lt sd", s "sd sd bd"] @ The result is: @ d1 $ rev $ cat [s "bd sd sd", s "sd lt lt", s "sn sn bd", s "bd bd sn"] @ -} outside :: Pattern Time -> (Pattern a1 -> Pattern a) -> Pattern a1 -> Pattern a outside np f p = innerJoin $ (\n -> _outside n f p) <$> np _outside :: Time -> (Pattern a1 -> Pattern a) -> Pattern a1 -> Pattern a _outside n = _inside (1/n) loopFirst :: Pattern a -> Pattern a loopFirst p = splitQueries $ p {query = f} where f st = map (\(Event c w p' v) -> Event c (plus <$> w) (plus p') v) $ query p (st {arc = minus $ arc st}) where minus = fmap (subtract (sam s)) plus = fmap (+ sam s) s = start $ arc st timeLoop :: Pattern Time -> Pattern a -> Pattern a timeLoop n = outside n loopFirst seqPLoop :: [(Time, Time, Pattern a)] -> Pattern a seqPLoop ps = timeLoop (pure $ maxT - minT) $ minT `rotL` seqP ps where minT = minimum $ map (\(x,_,_) -> x) ps maxT = maximum $ map (\(_,x,_) -> x) ps {-| @toScale@ lets you turn a pattern of notes within a scale (expressed as a list) to note numbers. For example: @toScale [0, 4, 7] "0 1 2 3"@ will turn into the pattern @"0 4 7 12"@. This function assumes your scale fits within an octave; if that's not true, use 'toScale''. @toScale = toScale' 12@ -} toScale :: Num a => [a] -> Pattern Int -> Pattern a toScale = toScale' 12 {- | As 'toScale', though allowing scales of arbitrary size. An example: @toScale' 24 [0,4,7,10,14,17] (run 8)@ turns into @"0 4 7 10 14 17 24 28"@. -} toScale' :: Num a => Int -> [a] -> Pattern Int -> Pattern a toScale' _ [] = const silence toScale' o s = fmap noteInScale where octave x = x `div` length s noteInScale x = (s !!! x) + fromIntegral (o * octave x) {- | `swingBy x n` divides a cycle into `n` slices and delays the notes in the second half of each slice by `x` fraction of a slice. -} swingBy :: Pattern Time -> Pattern Time -> Pattern a -> Pattern a swingBy x n = inside n (withinArc (Arc 0.5 1) (x ~>)) {-| As 'swingBy', with the cycle division set to ⅓. -} swing :: Pattern Time -> Pattern a -> Pattern a swing = swingBy (pure $ 1%3) {- | `cycleChoose` is like `choose` but only picks a new item from the list once each cycle -} cycleChoose :: [a] -> Pattern a cycleChoose = segment 1 . choose {- | Internal function used by shuffle and scramble -} _rearrangeWith :: Pattern Int -> Int -> Pattern a -> Pattern a _rearrangeWith ipat n pat = innerJoin $ (\i -> _fast nT $ _repeatCycles n $ pats !! i) <$> ipat where pats = map (\i -> zoom (fromIntegral i / nT, fromIntegral (i+1) / nT) pat) [0 .. (n-1)] nT :: Time nT = fromIntegral n {- | @shuffle n p@ evenly divides one cycle of the pattern @p@ into @n@ parts, and returns a random permutation of the parts each cycle. For example, @shuffle 3 "a b c"@ could return @"a b c"@, @"a c b"@, @"b a c"@, @"b c a"@, @"c a b"@, or @"c b a"@. But it will **never** return @"a a a"@, because that is not a permutation of the parts. -} shuffle :: Pattern Int -> Pattern a -> Pattern a shuffle = tParam _shuffle _shuffle :: Int -> Pattern a -> Pattern a _shuffle n = _rearrangeWith (randrun n) n {- | @scramble n p@ is like 'shuffle' but randomly selects from the parts of @p@ instead of making permutations. For example, @scramble 3 "a b c"@ will randomly select 3 parts from @"a"@ @"b"@ and @"c"@, possibly repeating a single part. -} scramble :: Pattern Int -> Pattern a -> Pattern a scramble = tParam _scramble _scramble :: Int -> Pattern a -> Pattern a _scramble n = _rearrangeWith (_segment (fromIntegral n) $ _irand n) n {-| @randrun n@ generates a pattern of random integers less than @n@. The following plays random notes in an octave: @ d1 $ s "superhammond!12" # n (fromIntegral <$> randrun 13) @ -} randrun :: Int -> Pattern Int randrun 0 = silence randrun n' = splitQueries $ Pattern (\(State a@(Arc s _) _) -> events a $ sam s) where events a seed = mapMaybe toEv $ zip arcs shuffled where shuffled = map snd $ sortOn fst $ zip rs [0 .. (n'-1)] rs = timeToRands seed n' :: [Double] arcs = zipWith Arc fractions (tail fractions) fractions = map (+ (sam $ start a)) [0, 1 / fromIntegral n' .. 1] toEv (a',v) = do a'' <- subArc a a' return $ Event (Context []) (Just a') a'' v -- ** Composing patterns {- | The function @seqP@ allows you to define when a sound within a list starts and ends. The code below contains three separate patterns in a `stack`, but each has different start times (zero cycles, eight cycles, and sixteen cycles, respectively). All patterns stop after 128 cycles: @ d1 $ seqP [ (0, 128, sound "bd bd*2"), (8, 128, sound "hh*2 [sn cp] cp future*4"), (16, 128, sound (samples "arpy*8" (run 16))) ] @ -} seqP :: [(Time, Time, Pattern a)] -> Pattern a seqP ps = stack $ map (\(s, e, p) -> playFor s e (sam s `rotR` p)) ps {-| The @ur@ function is designed for longer form composition, by allowing you to create ’patterns of patterns’ in a repeating loop. It takes four parameters: how long the loop will take, a pattern giving the structure of the composition, a lookup table for named patterns to feed into that structure, and a second lookup table for named transformations\/effects. The /ur-/ prefix [comes from German](https://en.wiktionary.org/wiki/ur-#German) and means /proto-/ or /original/. For a mnemonic device, think of this function as assembling a set of original patterns (ur-patterns) into a larger, newer whole. Lets say you had three patterns (called @a@, @b@ and @c@), and that you wanted to play them four cycles each, over twelve cycles in total. Here is one way to do it: @ let pats = [ ("a", stack [n "c4 c5 g4 f4 f5 g4 e5 g4" # s "superpiano" # gain "0.7", n "[c3,g4,c4]" # s "superpiano"# gain "0.7" ] ), ("b", stack [n "d4 c5 g4 f4 f5 g4 e5 g4" # s "superpiano" # gain "0.7", n "[d3,a4,d4]" # s "superpiano"# gain "0.7" ] ), ("c", stack [n "f4 c5 g4 f4 f5 g4 e5 g4" # s "superpiano" # gain "0.7", n "[f4,c5,f4]" # s "superpiano"# gain "0.7" ] ) ] in d1 $ ur 12 "a b c" pats [] @ -} ur :: Time -> Pattern String -> [(String, Pattern a)] -> [(String, Pattern a -> Pattern a)] -> Pattern a ur t outer_p ps fs = _slow t $ unwrap $ adjust <$> timedValues (getPat . split <$> outer_p) where split = wordsBy (==':') getPat (s:xs) = (match s, transform xs) -- TODO - check this really can't happen.. getPat _ = error "can't happen?" match s = fromMaybe silence $ lookup s ps' ps' = map (fmap (_fast t)) ps adjust (a, (p, f)) = f a p transform (x:_) a = transform' x a transform _ _ = id transform' str (Arc s e) p = s `rotR` inside (pure $ 1/(e-s)) (matchF str) p matchF str = fromMaybe id $ lookup str fs timedValues = withEvent (\(Event c (Just a) a' v) -> Event c (Just a) a' (a,v)) . filterDigital -- | A simpler version of 'ur' that just provides name-value bindings that are reflected in the provided pattern. inhabit :: [(String, Pattern a)] -> Pattern String -> Pattern a inhabit ps p = squeezeJoin $ (\s -> fromMaybe silence $ lookup s ps) <$> p {- | @spaceOut xs p@ repeats a 'Pattern' @p@ at different durations given by the list of time values in @xs@. -} spaceOut :: [Time] -> Pattern a -> Pattern a spaceOut xs p = _slow (toRational $ sum xs) $ stack $ map (`compressArc` p) spaceArcs where markOut :: Time -> [Time] -> [Arc] markOut _ [] = [] markOut offset (x:xs') = Arc offset (offset+x):markOut (offset+x) xs' spaceArcs = map (\(Arc a b) -> Arc (a/s) (b/s)) $ markOut 0 xs s = sum xs -- | @flatpat@ takes a 'Pattern' of lists and pulls the list elements as -- separate 'Event's. flatpat :: Pattern [a] -> Pattern a flatpat p = p {query = concatMap (\(Event c b b' xs) -> map (Event c b b') xs) . query p} -- | @layer@ takes a list of 'Pattern'-returning functions and a seed element, -- stacking the result of applying the seed element to each function in the list. layer :: [a -> Pattern b] -> a -> Pattern b layer fs p = stack $ map ($ p) fs -- | @arpeggiate@ finds events that share the same timespan, and spreads -- them out during that timespan, so for example @arpeggiate "[bd,sn]"@ -- gets turned into @"bd sn"@. Useful for creating arpeggios/broken chords. arpeggiate :: Pattern a -> Pattern a arpeggiate = arpWith id -- | Shorthand alias for arpeggiate arpg :: Pattern a -> Pattern a arpg = arpeggiate arpWith :: ([EventF (ArcF Time) a] -> [EventF (ArcF Time) b]) -> Pattern a -> Pattern b arpWith f p = withEvents munge p where munge es = concatMap (spreadOut . f) (groupBy (\a b -> whole a == whole b) $ sortOn whole es) spreadOut xs = mapMaybe (\(n, x) -> shiftIt n (length xs) x) $ enumerate xs shiftIt n d (Event c (Just (Arc s e)) a' v) = do a'' <- subArc (Arc newS newE) a' return (Event c (Just $ Arc newS newE) a'' v) where newS = s + (dur * fromIntegral n) newE = newS + dur dur = (e - s) / fromIntegral d -- TODO ignoring analog events.. Should we just leave them as-is? shiftIt _ _ _ = Nothing {-| The @arp@ function takes an additional pattern of arpeggiate modes. For example: @ d1 $ sound "superpiano" # n (arp "" "") @ The different arpeggiate modes are: @ up down updown downup up&down down&up converge diverge disconverge pinkyup pinkyupdown thumbup thumbupdown- @ -} arp :: Pattern String -> Pattern a -> Pattern a arp = tParam _arp _arp :: String -> Pattern a -> Pattern a _arp name p = arpWith f p where f = fromMaybe id $ lookup name arps arps :: [(String, [a] -> [a])] arps = [("up", id), ("down", reverse), ("updown", \x -> init x ++ init (reverse x)), ("downup", \x -> init (reverse x) ++ init x), ("up&down", \x -> x ++ reverse x), ("down&up", \x -> reverse x ++ x), ("converge", converge), ("diverge", reverse . converge), ("disconverge", \x -> converge x ++ tail (reverse $ converge x)), ("pinkyup", pinkyup), ("pinkyupdown", \x -> init (pinkyup x) ++ init (reverse $ pinkyup x)), ("thumbup", thumbup), ("thumbupdown", \x -> init (thumbup x) ++ init (reverse $ thumbup x)) ] converge [] = [] converge (x:xs) = x : converge' xs converge' [] = [] converge' xs = last xs : converge (init xs) pinkyup xs = concatMap (:[pinky]) $ init xs where pinky = last xs thumbup xs = concatMap (\x -> [thumb,x]) $ tail xs where thumb = head xs {- | `rolled` plays each note of a chord quickly in order, as opposed to simultaneously; to give a chord a harp-like effect. This will played from the lowest note to the highest note of the chord: @ rolled $ n "c'maj'4" # s "superpiano" @ @rolled = rolledBy (1/4)@ -} rolled :: Pattern a -> Pattern a rolled = rolledBy (1/4) {- As 'rolled', but allowing you to specify the length of the roll. The value in the passed pattern is the divisor of the cycle length. A negative value will play the arpeggio in reverse order. @ rolledBy "<1 -0.5 0.25 -0.125>" $ note "c'maj9" # s "superpiano" @ -} rolledBy :: Pattern (Ratio Integer) -> Pattern a -> Pattern a rolledBy pt = tParam rolledWith (segment 1 $ pt) rolledWith :: Ratio Integer -> Pattern a -> Pattern a rolledWith t = withEvents aux where aux es = concatMap (steppityIn) (groupBy (\a b -> whole a == whole b) $ ((isRev t) es)) isRev b = (\x -> if x > 0 then id else reverse ) b steppityIn xs = mapMaybe (\(n, ev) -> (timeguard n xs ev t)) $ enumerate xs timeguard _ _ ev 0 = return ev timeguard n xs ev _ = (shiftIt n (length xs) ev) shiftIt n d (Event c (Just (Arc s e)) a' v) = do a'' <- subArc (Arc newS e) a' return (Event c (Just $ Arc newS e) a'' v) where newS = s + (dur * fromIntegral n) dur = ((e - s)) / ((1/ (abs t))*fromIntegral d) shiftIt _ _ ev = return ev {- TODO ! -- | @fill@ 'fills in' gaps in one pattern with events from another. For example @fill "bd" "cp ~ cp"@ would result in the equivalent of `"~ bd ~"`. This only finds gaps in a resulting pattern, in other words @"[bd ~, sn]"@ doesn't contain any gaps (because @sn@ covers it all), and @"bd ~ ~ sn"@ only contains a single gap that bridges two steps. fill :: Pattern a -> Pattern a -> Pattern a fill p' p = struct (splitQueries $ p {query = q}) p' where q st = removeTolerance (s,e) $ invert (s-tolerance, e+tolerance) $ query p (st {arc = (s-tolerance, e+tolerance)}) where (s,e) = arc st invert (s,e) es = map arcToEvent $ foldr remove [(s,e)] (map part es) remove (s,e) xs = concatMap (remove' (s, e)) xs remove' (s,e) (s',e') | s > s' && e < e' = [(s',s),(e,e')] -- inside | s > s' && s < e' = [(s',s)] -- cut off right | e > s' && e < e' = [(e,e')] -- cut off left | s <= s' && e >= e' = [] -- swallow | otherwise = [(s',e')] -- miss arcToEvent a = ((a,a),"x") removeTolerance (s,e) es = concatMap (expand) $ map (withPart f) es where f a = concatMap (remove' (e,e+tolerance)) $ remove' (s-tolerance,s) a expand ((a,xs),c) = map (\x -> ((a,x),c)) xs tolerance = 0.01 -} -- | @ply n@ repeats each event @n@ times within its arc. ply :: Pattern Rational -> Pattern a -> Pattern a ply = tParam _ply _ply :: Rational -> Pattern a -> Pattern a _ply n pat = squeezeJoin $ (_fast n . pure) <$> pat -- | As 'ply', but applies a function each time. The applications are compounded. plyWith :: (Ord t, Num t) => Pattern t -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a plyWith np f p = innerJoin $ (\n -> _plyWith n f p) <$> np _plyWith :: (Ord t, Num t) => t -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a _plyWith numPat f p = arpeggiate $ compound numPat where compound n | n <= 1 = p | otherwise = overlay p (f $ compound $ n-1) -- | Syncopates a rhythm, shifting each event halfway into its arc (aka timespan), e.g. @"a b [c d] e"@ becomes the equivalent of @"[~ a] [~ b] [[~ c] [~ d]] [~ e]"@ press :: Pattern a -> Pattern a press = _pressBy 0.5 -- | Like @press@, but allows you to specify the amount in which each event is shifted. @pressBy 0.5@ is the same as @press@, while @pressBy (1/3)@ shifts each event by a third of its arc. pressBy :: Pattern Time -> Pattern a -> Pattern a pressBy = tParam _pressBy _pressBy :: Time -> Pattern a -> Pattern a _pressBy r pat = squeezeJoin $ (compressTo (r,1) . pure) <$> pat -- | Uses the first (binary) pattern to switch between the following -- two patterns. The resulting structure comes from the source patterns, not the -- binary pattern. See also @stitch@. sew :: Pattern Bool -> Pattern a -> Pattern a -> Pattern a sew pb a b = overlay (mask pb a) (mask (inv pb) b) -- | Uses the first (binary) pattern to switch between the following -- two patterns. The resulting structure comes from the binary -- pattern, not the source patterns. See also @sew@. stitch :: Pattern Bool -> Pattern a -> Pattern a -> Pattern a stitch pb a b = overlay (struct pb a) (struct (inv pb) b) -- | A binary pattern is used to conditionally apply a function to a -- source pattern. The function is applied when a @True@ value is -- active, and the pattern is let through unchanged when a @False@ -- value is active. No events are let through where no binary values -- are active. while :: Pattern Bool -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a while b f pat = sew b (f pat) pat {-| @stutter n t pat@ repeats each event in @pat@ @n@ times, separated by @t@ time (in fractions of a cycle). It is like 'Sound.Tidal.Control.echo' that doesn't reduce the volume, or 'ply' if you controlled the timing. @ d1 $ stutter 4 (1/16) $ s "bd cp" @ is functionally equivalent to @ d1 $ stut 4 1 (1/16) $ s "bd cp" @ -} stutter :: Integral i => i -> Time -> Pattern a -> Pattern a stutter n t p = stack $ map (\i -> (t * fromIntegral i) `rotR` p) [0 .. (n-1)] {- | The `jux` function creates strange stereo effects, by applying a function to a pattern, but only in the right-hand channel. For example, the following reverses the pattern on the righthand side: @ d1 $ slow 32 $ jux (rev) $ striateBy 32 (1/16) $ sound "bev" @ When passing pattern transforms to functions like [jux](#jux) and [every](#every), it's possible to chain multiple transforms together with `.`, for example this both reverses and halves the playback speed of the pattern in the righthand channel: @ d1 $ slow 32 $ jux ((# speed "0.5") . rev) $ striateBy 32 (1/16) $ sound "bev" @ -} jux :: (Pattern ValueMap -> Pattern ValueMap) -> Pattern ValueMap -> Pattern ValueMap jux = juxBy 1 juxcut :: (Pattern ValueMap -> Pattern ValueMap) -> Pattern ValueMap -> Pattern ValueMap juxcut f p = stack [p # P.pan (pure 0) # P.cut (pure (-1)), f $ p # P.pan (pure 1) # P.cut (pure (-2)) ] juxcut' :: [t -> Pattern ValueMap] -> t -> Pattern ValueMap juxcut' fs p = stack $ map (\n -> ((fs !! n) p |+ P.cut (pure $ 1-n)) # P.pan (pure $ fromIntegral n / fromIntegral l)) [0 .. l-1] where l = length fs {- | In addition to `jux`, `jux'` allows using a list of pattern transform. resulting patterns from each transformation will be spread via pan from left to right. For example: @ d1 $ jux' [iter 4, chop 16, id, rev, palindrome] $ sound "bd sn" @ will put `iter 4` of the pattern to the far left and `palindrome` to the far right. In the center the original pattern will play and mid left mid right the chopped and the reversed version will appear. One could also write: @ d1 $ stack [ iter 4 $ sound "bd sn" # pan "0", chop 16 $ sound "bd sn" # pan "0.25", sound "bd sn" # pan "0.5", rev $ sound "bd sn" # pan "0.75", palindrome $ sound "bd sn" # pan "1", ] @ -} jux' :: [t -> Pattern ValueMap] -> t -> Pattern ValueMap jux' fs p = stack $ map (\n -> (fs !! n) p |+ P.pan (pure $ fromIntegral n / fromIntegral l)) [0 .. l-1] where l = length fs -- | Multichannel variant of `jux`, _not sure what it does_ jux4 :: (Pattern ValueMap -> Pattern ValueMap) -> Pattern ValueMap -> Pattern ValueMap jux4 f p = stack [p # P.pan (pure (5/8)), f $ p # P.pan (pure (1/8))] {- | With `jux`, the original and effected versions of the pattern are panned hard left and right (i.e., panned at 0 and 1). This can be a bit much, especially when listening on headphones. The variant `juxBy` has an additional parameter, which brings the channel closer to the centre. For example: @ d1 $ juxBy 0.5 (density 2) $ sound "bd sn:1" @ In the above, the two versions of the pattern would be panned at 0.25 and 0.75, rather than 0 and 1. -} juxBy :: Pattern Double -> (Pattern ValueMap -> Pattern ValueMap) -> Pattern ValueMap -> Pattern ValueMap juxBy n f p = stack [p |+ P.pan 0.5 |- P.pan (n/2), f $ p |+ P.pan 0.5 |+ P.pan (n/2)] {- | Given a sample's directory name and number, this generates a string suitable to pass to 'Data.String.fromString' to create a 'Pattern String'. 'samples' is a 'Pattern'-compatible interface to this function. @pick name n = name ++ ":" ++ show n@ -} pick :: String -> Int -> String pick name n = name ++ ":" ++ show n {- | Given a pattern of sample directory names and a of pattern indices create a pattern of strings corresponding to the sample at each name-index pair. An example: @samples "jvbass [~ latibro] [jvbass [latibro jvbass]]" ((1%2) `rotL` slow 6 "[1 6 8 7 3]")@ The type signature is more general here, but you can consider this to be a function of type @Pattern String -> Pattern Int -> Pattern String. @samples = liftA2 pick@ -} samples :: Applicative f => f String -> f Int -> f String samples p p' = pick <$> p <*> p' {- | Equivalent to 'samples', though the sample specifier pattern (the @f Int@) will be evaluated first. Not a large difference in the majority of cases. -} samples' :: Applicative f => f String -> f Int -> f String samples' p p' = flip pick <$> p' <*> p {- scrumple :: Time -> Pattern a -> Pattern a -> Pattern a scrumple o p p' = p'' -- overlay p (o `rotR` p'') where p'' = Pattern $ \a -> concatMap (\((s,d), vs) -> map (\x -> ((s,d), snd x ) ) (arc p' (s,s)) ) (arc p a) -} {- As 'spread', but specialized so that the list contains functions returning patterns. @spreadf = 'spread' ($)@ -} spreadf :: [a -> Pattern b] -> a -> Pattern b spreadf = spread ($) stackwith :: Unionable a => Pattern a -> [Pattern a] -> Pattern a stackwith p ps | null ps = silence | otherwise = stack $ map (\(i, p') -> p' # ((fromIntegral i % l) `rotL` p)) (zip [0::Int ..] ps) where l = fromIntegral $ length ps {- cross f p p' = Pattern $ \t -> concat [filter flt $ arc p t, filter (not . flt) $ arc p' t ] ] where flt = f . cyclePos . fst . fst -} {- | `range` will take a pattern which goes from 0 to 1 (like `sine`), and range it to a different range - between the first and second arguments. In the below example, `range 1 1.5` shifts the range of `sine1` from 0 - 1 to 1 - 1.5. @ d1 $ jux (iter 4) $ sound "arpy arpy:2*2" |+ speed (slow 4 $ range 1 1.5 sine1) @ -} range :: Num a => Pattern a -> Pattern a -> Pattern a -> Pattern a range fromP toP p = (\from to v -> ((v * (to-from)) + from)) <$> fromP *> toP *> p _range :: (Functor f, Num b) => b -> b -> f b -> f b _range from to p = (+ from) . (* (to-from)) <$> p {- | `rangex` is an exponential version of `range`, good for using with frequencies. Do *not* use negative numbers or zero as arguments! -} rangex :: (Functor f, Floating b) => b -> b -> f b -> f b rangex from to p = exp <$> _range (log from) (log to) p off :: Pattern Time -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a off tp f p = innerJoin $ (\tv -> _off tv f p) <$> tp _off :: Time -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a _off t f p = superimpose (f . (t `rotR`)) p offadd :: Num a => Pattern Time -> Pattern a -> Pattern a -> Pattern a offadd tp pn p = off tp (+pn) p -- | Step sequencing step :: String -> String -> Pattern String step s cs = fastcat $ map f cs where f c | c == 'x' = pure s | isDigit c = pure $ s ++ ":" ++ [c] | otherwise = silence steps :: [(String, String)] -> Pattern String steps = stack . map (uncurry step) -- | like `step`, but allows you to specify an array of strings to use for 0,1,2... step' :: [String] -> String -> Pattern String step' ss cs = fastcat $ map f cs where f c | c == 'x' = pure $ head ss | isDigit c = pure $ ss !! digitToInt c | otherwise = silence -- | Deprecated backwards-compatible alias for 'ghostWith'. ghost'' :: Time -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a ghost'' = ghostWith -- | Like 'ghost'', but a user-supplied function describes how to alter the pattern. ghostWith :: Time -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a ghostWith a f p = superimpose (((a*2.5) `rotR`) . f) $ superimpose (((a*1.5) `rotR`) . f) p {- @ghost' t pat@ Adds quieter, pitch-shifted, copies of an event @t@ cycles after events in @pat@, emulating ghost notes that are common in drumming patterns. -} ghost' :: Time -> Pattern ValueMap -> Pattern ValueMap ghost' a p = ghostWith a ((|*| P.gain (pure 0.7)) . (|> P.end (pure 0.2)) . (|*| P.speed (pure 1.25))) p {-| As 'ghost', but with the copies set to appear one-eighth of a cycle afterwards. @ghost = ghost' 0.125@ -} ghost :: Pattern ValueMap -> Pattern ValueMap ghost = ghost' 0.125 {- | A more literal weaving than the `weave` function. Given @tabby threads p1 p@, parameters representing the threads per cycle and the patterns to weave, and this function will weave them together using a plain (aka ’tabby’) weave, with a simple over/under structure -} tabby :: Int -> Pattern a -> Pattern a -> Pattern a tabby nInt p p' = stack [maskedWarp, maskedWeft ] where n = fromIntegral nInt weft = concatMap (const [[0..n-1], reverse [0..n-1]]) [0 .. (n `div` 2) - 1] warp = transpose weft thread xs p'' = _slow (n%1) $ fastcat $ map (\i -> zoomArc (Arc (i%n) ((i+1)%n)) p'') (concat xs) weftP = thread weft p' warpP = thread warp p maskedWeft = mask (every 2 rev $ _fast (n % 2) $ fastCat [silence, pure True]) weftP maskedWarp = mask (every 2 rev $ _fast (n % 2) $ fastCat [pure True, silence]) warpP -- | chooses between a list of patterns, using a pattern of floats (from 0-1) select :: Pattern Double -> [Pattern a] -> Pattern a select = tParam _select _select :: Double -> [Pattern a] -> Pattern a _select f ps = ps !! floor (max 0 (min 1 f) * fromIntegral (length ps - 1)) -- | chooses between a list of functions, using a pattern of floats (from 0-1) selectF :: Pattern Double -> [Pattern a -> Pattern a] -> Pattern a -> Pattern a selectF pf ps p = innerJoin $ (\f -> _selectF f ps p) <$> pf _selectF :: Double -> [Pattern a -> Pattern a] -> Pattern a -> Pattern a _selectF f ps p = (ps !! floor (max 0 (min 0.999999 f) * fromIntegral (length ps))) p -- | chooses between a list of functions, using a pattern of integers pickF :: Pattern Int -> [Pattern a -> Pattern a] -> Pattern a -> Pattern a pickF pInt fs pat = innerJoin $ (\i -> _pickF i fs pat) <$> pInt _pickF :: Int -> [Pattern a -> Pattern a] -> Pattern a -> Pattern a _pickF i fs p = (fs !!! i) p -- | @contrast p f f' p'@ splits the control pattern @p'@ in two, applying -- the function @f@ to one and @f'@ to the other. This depends on -- whether events in it contains values matching with those in @p@. -- For example in @contrast (# crush 3) (# vowel "a") (n "1") $ n "0 1" # s "bd sn" # speed 3@, -- the first event will have the vowel effect applied and the second -- will have the crush applied. contrast :: (ControlPattern -> ControlPattern) -> (ControlPattern -> ControlPattern) -> ControlPattern -> ControlPattern -> ControlPattern contrast = contrastBy (==) contrastBy :: (a -> Value -> Bool) -> (ControlPattern -> Pattern b) -> (ControlPattern -> Pattern b) -> Pattern (Map.Map String a) -> Pattern (Map.Map String Value) -> Pattern b contrastBy comp f f' p p' = overlay (f matched) (f' unmatched) where matches = matchManyToOne (flip $ Map.isSubmapOfBy comp) p p' matched :: ControlPattern matched = filterJust $ (\(t, a) -> if t then Just a else Nothing) <$> matches unmatched :: ControlPattern unmatched = filterJust $ (\(t, a) -> if not t then Just a else Nothing) <$> matches contrastRange :: (ControlPattern -> Pattern a) -> (ControlPattern -> Pattern a) -> Pattern (Map.Map String (Value, Value)) -> ControlPattern -> Pattern a contrastRange = contrastBy f where f (VI s, VI e) (VI v) = v >= s && v <= e f (VF s, VF e) (VF v) = v >= s && v <= e f (VN s, VN e) (VN v) = v >= s && v <= e f (VS s, VS e) (VS v) = v == s && v == e f _ _ = False -- | Like @contrast@, but one function is given, and applied to events with matching controls. fix :: (ControlPattern -> ControlPattern) -> ControlPattern -> ControlPattern -> ControlPattern fix f = contrast f id -- | Like @contrast@, but one function is given, and applied to events -- with controls which don't match. unfix :: (ControlPattern -> ControlPattern) -> ControlPattern -> ControlPattern -> ControlPattern unfix = contrast id fixRange :: (ControlPattern -> Pattern ValueMap) -> Pattern (Map.Map String (Value, Value)) -> ControlPattern -> ControlPattern fixRange f = contrastRange f id unfixRange :: (ControlPattern -> Pattern ValueMap) -> Pattern (Map.Map String (Value, Value)) -> ControlPattern -> ControlPattern unfixRange = contrastRange id -- | Limits values in a Pattern (or other Functor) to n equally spaced -- divisions of 1. quantise :: (Functor f, RealFrac b) => b -> f b -> f b quantise n = fmap ((/n) . (fromIntegral :: RealFrac b => Int -> b) . round . (*n)) -- | As 'quantise', but uses 'Prelude.floor' to calculate divisions. qfloor :: (Functor f, RealFrac b) => b -> f b -> f b qfloor n = fmap ((/n) . (fromIntegral :: RealFrac b => Int -> b) . floor . (*n)) -- | As 'quantise', but uses 'Prelude.ceiling' to calculate divisions. qceiling :: (Functor f, RealFrac b) => b -> f b -> f b qceiling n = fmap ((/n) . (fromIntegral :: RealFrac b => Int -> b) . ceiling . (*n)) -- | An alias for 'quantise'. qround :: (Functor f, RealFrac b) => b -> f b -> f b qround = quantise -- | Inverts all the values in a boolean pattern inv :: Functor f => f Bool -> f Bool inv = (not <$>) -- | Serialises a pattern so there's only one event playing at any one -- time, making it /monophonic/. Events which start/end earlier are given priority. mono :: Pattern a -> Pattern a mono p = Pattern $ \(State a cm) -> flatten $ query p (State a cm) where flatten :: [Event a] -> [Event a] flatten = mapMaybe constrainPart . truncateOverlaps . sortOn whole truncateOverlaps [] = [] truncateOverlaps (e:es) = e : truncateOverlaps (mapMaybe (snip e) es) -- TODO - decide what to do about analog events.. snip a b | start (wholeOrPart b) >= stop (wholeOrPart a) = Just b | stop (wholeOrPart b) <= stop (wholeOrPart a) = Nothing | otherwise = Just b {whole = Just $ Arc (stop $ wholeOrPart a) (stop $ wholeOrPart b)} constrainPart :: Event a -> Maybe (Event a) constrainPart e = do a <- subArc (wholeOrPart e) (part e) return $ e {part = a} {-| @smooth@ receives a pattern of numbers and linearly goes from one to the next, passing through all of them. As time is cycle-based, after reaching the last number in the pattern, it will smoothly go to the first one again. @ d1 $ sound "bd*4" # pan (slow 4 $ smooth "0 1 0.5 1") @ This sound will pan gradually from left to right, then to the center, then to the right again, and finally comes back to the left. -} -- serialize the given pattern -- find the middle of the query's arc and use that to query the serialized pattern. We should get either no events or a single event back -- if we don't get any events, return nothing -- if we get an event, get the stop of its arc, and use that to query the serialized pattern, to see if there's an adjoining event -- if there isn't, return the event as-is. -- if there is, check where we are in the 'whole' of the event, and use that to tween between the values of the event and the next event -- smooth :: Pattern Double -> Pattern Double -- TODO - test this with analog events smooth :: Fractional a => Pattern a -> Pattern a smooth p = Pattern $ \st@(State a cm) -> tween st a $ query monoP (State (midArc a) cm) where midArc a = Arc (mid (start a, stop a)) (mid (start a, stop a)) tween _ _ [] = [] tween st queryA (e:_) = maybe [e {whole = Just queryA, part = queryA}] (tween' queryA) (nextV st) where aStop = Arc (wholeStop e) (wholeStop e) nextEs st' = query monoP (st' {arc = aStop}) nextV st' | null (nextEs st') = Nothing | otherwise = Just $ value (head (nextEs st')) tween' queryA' v = [ Event { context = context e, whole = Just queryA' , part = queryA' , value = value e + ((v - value e) * pc)} ] pc | delta' (wholeOrPart e) == 0 = 0 | otherwise = fromRational $ (eventPartStart e - wholeStart e) / delta' (wholeOrPart e) delta' a = stop a - start a monoP = mono p -- | Looks up values from a list of tuples, in order to swap values in the given pattern swap :: Eq a => [(a, b)] -> Pattern a -> Pattern b swap things p = filterJust $ (`lookup` things) <$> p {-| @snowball@ takes a function that can combine patterns (like '+'), a function that transforms a pattern (like 'slow'), a depth, and a starting pattern, it will then transform the pattern and combine it with the last transformation until the depth is reached. This is like putting an effect (like a filter) in the feedback of a delay line; each echo is more affected. @d1 $ note (scale "hexDorian" $ snowball 8 (+) (slow 2 . rev) "0 ~ . -1 . 5 3 4 . ~ -2") # s "gtr"@ -} snowball :: Int -> (Pattern a -> Pattern a -> Pattern a) -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a snowball depth combinationFunction f pattern = cat $ take depth $ scanl combinationFunction pattern $ drop 1 $ iterate f pattern {- @soak@ | applies a function to a pattern and cats the resulting pattern, then continues applying the function until the depth is reached this can be used to create a pattern that wanders away from the original pattern by continually adding random numbers d1 $ note (scale "hexDorian" mutateBy (+ (range -1 1 $ irand 2)) 8 $ "0 1 . 2 3 4") # s "gtr" -} soak :: Int -> (Pattern a -> Pattern a) -> Pattern a -> Pattern a soak depth f pattern = cat $ take depth $ iterate f pattern -- | @construct n p@ breaks @p@ into pieces and then reassembles them -- so that it fits into @n@ steps. deconstruct :: Int -> Pattern String -> String deconstruct n p = intercalate " " $ map showStep $ toList p where showStep :: [String] -> String showStep [] = "~" showStep [x] = x showStep xs = "[" ++ (intercalate ", " xs) ++ "]" toList :: Pattern a -> [[a]] toList pat = map (\(s,e) -> map value $ queryArc (_segment n' pat) (Arc s e)) arcs where breaks = [0, (1/n') ..] arcs = zip (take n breaks) (drop 1 breaks) n' = fromIntegral n {- | @bite n ipat pat@ slices a pattern @pat@ into @n@ pieces, then uses the @ipat@ pattern of integers to index into those slices. So @bite 4 "0 2*2" (run 8)@ is the same as @"[0 1] [4 5]*2"@. -} bite :: Pattern Int -> Pattern Int -> Pattern a -> Pattern a bite npat ipat pat = innerJoin $ (\n -> _bite n ipat pat) <$> npat _bite :: Int -> Pattern Int -> Pattern a -> Pattern a _bite n ipat pat = squeezeJoin $ zoompat <$> ipat where zoompat i = zoom (i'/(fromIntegral n), (i'+1)/(fromIntegral n)) pat where i' = fromIntegral $ i `mod` n {- | @squeeze@ uses a pattern of integers to index into a list of patterns. -} squeeze :: Pattern Int -> [Pattern a] -> Pattern a squeeze _ [] = silence squeeze ipat pats = squeezeJoin $ (pats !!!) <$> ipat squeezeJoinUp :: Pattern (ControlPattern) -> ControlPattern squeezeJoinUp pp = pp {query = q} where q st = concatMap (f st) (query (filterDigital pp) st) f st (Event c (Just w) p v) = mapMaybe (munge c w p) $ query (compressArc (cycleArc w) (v |* P.speed (pure $ fromRational $ 1/(stop w - start w)))) st {arc = p} -- already ignoring analog events, but for completeness.. f _ _ = [] munge co oWhole oPart (Event ci (Just iWhole) iPart v) = do w' <- subArc oWhole iWhole p' <- subArc oPart iPart return (Event (combineContexts [ci,co]) (Just w') p' v) munge _ _ _ _ = Nothing _chew :: Int -> Pattern Int -> ControlPattern -> ControlPattern _chew n ipat pat = (squeezeJoinUp $ zoompat <$> ipat) |/ P.speed (pure $ fromIntegral n) where zoompat i = zoom (i'/(fromIntegral n), (i'+1)/(fromIntegral n)) (pat) where i' = fromIntegral $ i `mod` n {-| @chew@ works the same as 'bite', but speeds up\/slows down playback of sounds as well as squeezing/contracting the slices of the provided pattern. -} -- TODO maybe _chew could pattern the first parameter directly.. chew :: Pattern Int -> Pattern Int -> ControlPattern -> ControlPattern chew npat ipat pat = innerJoin $ (\n -> _chew n ipat pat) <$> npat __binary :: Data.Bits.Bits b => Int -> b -> [Bool] __binary n num = map (testBit num) $ reverse [0 .. n-1] _binary :: Data.Bits.Bits b => Int -> b -> Pattern Bool _binary n num = listToPat $ __binary n num _binaryN :: Int -> Pattern Int -> Pattern Bool _binaryN n p = squeezeJoin $ _binary n <$> p binaryN :: Pattern Int -> Pattern Int -> Pattern Bool binaryN n p = tParam _binaryN n p binary :: Pattern Int -> Pattern Bool binary = binaryN 8 ascii :: Pattern String -> Pattern Bool ascii p = squeezeJoin $ (listToPat . concatMap (__binary 8 . ord)) <$> p -- | Given a start point and a duration (both specified in cycles), this -- generates a control pattern that makes a sound begin at the start -- point and last the duration. -- -- @grain s d = 'Sound.Tidal.Params.begin' s # 'Sound.Tidal.Params.end' (s+d)@ grain :: Pattern Double -> Pattern Double -> ControlPattern grain s w = P.begin b # P.end e where b = s e = s + w -- | For specifying a boolean pattern according to a list of offsets -- (aka inter-onset intervals). For example `necklace 12 [4,2]` is -- the same as "t f f f t f t f f f t f". That is, 12 steps per cycle, -- with true values alternating between every 4 and every 2 steps. necklace :: Rational -> [Int] -> Pattern Bool necklace perCycle xs = _slow ((toRational $ sum xs) / perCycle) $ listToPat $ list xs where list :: [Int] -> [Bool] list [] = [] list (x:xs') = (True:(replicate (x-1) False)) ++ list xs'