Conditional Modifiers
lastOf
Applies the given function every n cycles, starting from the last cycle.
- n (number): how many cycles
- func (function): function to apply
note("c3 d3 e3 g3").lastOf(4, x=>x.rev())
firstOf
Applies the given function every n cycles, starting from the first cycle.
- n (number): how many cycles
- func (function): function to apply
note("c3 d3 e3 g3").firstOf(4, x=>x.rev())
when
Applies the given function whenever the given pattern is in a true state.
- binary_pat (Pattern):
- func (function):
"c3 eb3 g3".when("<0 1>/2", x=>x.sub("5")).note()
chunk
slowChunk, slowchunk
Divides a pattern into a given number of parts, then cycles through those parts in turn, applying the given function to each part in turn (one part per cycle).
"0 1 2 3".chunk(4, x=>x.add(7)) .scale("A:minor").note()
chunkBack
chunkback
Like chunk
, but cycles through the parts in reverse order. Known as chunk' in tidalcycles
"0 1 2 3".chunkBack(4, x=>x.add(7)) .scale("A:minor").note()
fastChunk
fastchunk
Like chunk
, but the cycles of the source pattern aren't repeated
for each set of chunks.
"<0 8> 1 2 3 4 5 6 7" .fastChunk(4, x => x.color('red')).slow(2) .scale("C2:major").note()
arp
Selects indices in in stacked notes.
note("<[c,eb,g]!2 [c,f,ab] [d,f,ab]>") .arp("0 [0,2] 1 [0,2]")
arpWith π§ͺ
Selects indices in in stacked notes.
note("<[c,eb,g]!2 [c,f,ab] [d,f,ab]>") .arpWith(haps => haps[2])
struct
Applies the given structure to the pattern:
note("c,eb,g") .struct("x ~ x ~ ~ x ~ x ~ ~ ~ x ~ x ~ ~") .slow(2)
mask
Returns silence when mask is 0 or "~"
note("c [eb,g] d [eb,g]").mask("<1 [0 1]>")
reset
Resets the pattern to the start of the cycle for each onset of the reset pattern.
s("[<bd lt> sd]*2, hh*8").reset("<x@3 x(5,8)>")
restart
Restarts the pattern for each onset of the restart pattern. While reset will only reset the current cycle, restart will start from cycle 0.
s("[<bd lt> sd]*2, hh*8").restart("<x@3 x(5,8)>")
hush
invert
inv
Swaps 1s and 0s in a binary pattern.
s("bd").struct("1 0 0 1 0 0 1 0".lastOf(4, invert))
pick
Picks patterns (or plain values) either from a list (by index) or a lookup table (by name).
Similar to inhabit
, but maintains the structure of the original patterns.
- pat (Pattern):
- xs (*):
note("<0 1 2!2 3>".pick(["g a", "e f", "f g f g" , "g c d"]))
sound("<0 1 [2,0]>".pick(["bd sd", "cp cp", "hh hh"]))
sound("<0!2 [0,1] 1>".pick(["bd(3,8)", "sd sd"]))
s("<a!2 [a,b] b>".pick({a: "bd(3,8)", b: "sd sd"}))
pickmod
The same as pick
, but if you pick a number greater than the size of the list,
it wraps around, rather than sticking at the maximum value.
For example, if you pick the fifth pattern of a list of three, you'll get the
second one.
- pat (Pattern):
- xs (*):
pickF
pickF lets you use a pattern of numbers to pick which function to apply to another pattern.
- pat (Pattern):
- lookup (Pattern): a pattern of indices
- funcs (Array.<function()>): the array of functions from which to pull
s("bd [rim hh]").pickF("<0 1 2>", [rev,jux(rev),fast(2)])
note("<c2 d2>(3,8)").s("square") .pickF("<0 2> 1", [jux(rev),fast(2),x=>x.lpf(800)])
pickmodF
The same as pickF
, but if you pick a number greater than the size of the functions list,
it wraps around, rather than sticking at the maximum value.
- pat (Pattern):
- lookup (Pattern): a pattern of indices
- funcs (Array.<function()>): the array of functions from which to pull
pickRestart
Similar to pick
, but the choosen pattern is restarted when its index is triggered.
- pat (Pattern):
- xs (*):
pickmodRestart
The same as pickRestart
, but if you pick a number greater than the size of the list,
it wraps around, rather than sticking at the maximum value.
- pat (Pattern):
- xs (*):
"<a@2 b@2 c@2 d@2>".pickRestart({ a: n("0 1 2 0"), b: n("2 3 4 ~"), c: n("[4 5] [4 3] 2 0"), d: n("0 -3 0 ~") }).scale("C:major").s("piano")
pickReset
Similar to pick
, but the choosen pattern is reset when its index is triggered.
- pat (Pattern):
- xs (*):
pickmodReset
The same as pickReset
, but if you pick a number greater than the size of the list,
it wraps around, rather than sticking at the maximum value.
- pat (Pattern):
- xs (*):
inhabit
pickSqueeze
/** * Picks patterns (or plain values) either from a list (by index) or a lookup table (by name).
Similar to pick
, but cycles are squeezed into the target ('inhabited') pattern.
- pat (Pattern):
- xs (*):
"<a b [a,b]>".inhabit({a: s("bd(3,8)"), b: s("cp sd") })
s("a@2 [a b] a".inhabit({a: "bd(3,8)", b: "sd sd"})).slow(4)
inhabitmod
pickmodSqueeze
The same as inhabit
, but if you pick a number greater than the size of the list,
it wraps around, rather than sticking at the maximum value.
For example, if you pick the fifth pattern of a list of three, you'll get the
second one.
- pat (Pattern):
- xs (*):
squeeze
Pick from the list of values (or patterns of values) via the index using the given pattern of integers. The selected pattern will be compressed to fit the duration of the selecting event
- pat (Pattern):
- xs (*):
note(squeeze("<0@2 [1!2] 2>", ["g a", "f g f g" , "g a c d"]))
After Conditional Modifiers, letβs see what Accumulation Modifiers have to offer.