Netwire
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−  Netwire is a library for [[Functional Reactive Programmingfunctional reactive programming]], which uses the concept of [[Arrowarrows]] for modelling an embedded domainspecific language. This language lets you express reactive systems, which means systems that change over time. It shares the basic concept with [[Yampa]] and its fork Animas, but it is itself not a fork. 
+  Netwire is a library for [[Functional Reactive Programmingfunctional reactive programming]], which uses the concept of [[Arrowarrows]] for modelling an embedded domainspecific language. This language lets you express reactive systems, which means systems that change over time. It shares the basic concept with [[Yampa]] and its fork Animas, but it is itself not a fork and has many additional features. 
−  :[http://hackage.haskell.org/package/netwire Download netwire] 
+  * [http://hackage.haskell.org/package/netwire Download netwire] 
+  
+  This wiki page corresponds to Netwire version 3 and is currently a work in progress. 

== Features == 
== Features == 

−  Here is a list of some of the features of ''netwire'': 
+  Here is a list of some of the features of Netwire: 
−  * arrowized interface, 
+  * arrow interface (or optionally an applicative interface), 
−  * applicative interface, 
+  * signal inhibition (ArrowZero / Alternative), 
−  * signal inhibition (''ArrowZero'' / ''Alternative''), 
+  * signal selection (ArrowPlus / Alternative), 
−  * choice and combination (''ArrowPlus'' / ''Alternative''), 
+  * selfadjusting wires (ArrowChoice), 
−  * selfadjusting wires (''ArrowChoice''), 

* rich set of event wires, 
* rich set of event wires, 

* signal analysis wires (average, peak, etc.), 
* signal analysis wires (average, peak, etc.), 

−  * impure wires. 
+  * effectful wires. 
−  == Quickstart == 

−  This is a quickstart introduction to Netwire for Haskell programmers familiar with arrowized functional reactive programming (AFRP), for example Yampa or Animas. It should quickly give you an idea of how the library works and how it differs from the two mentioned. 
+  == Basics == 
−  === The wire === 
+  The Netwire library is based around a data type called <hask>Wire</hask>. You need to import the <hask>Control.Wire</hask> module to work with wires: 
−  
−  Netwire calls its signal transformation functions ''wires''. You can think of a wire as a device with an input line and an output line. The difference between a function and a wire is that a wire can change itself throughout its lifetime. This is the basic idea of arrowized FRP. It gives you timedependent values. 

−  
−  A wire is parameterized over its input and output types: 

<haskell> 
<haskell> 

−  data Wire a b 
+  import Control.Wire 
−  </haskell> 

−  +  data Wire e (>~) a b 

−  === Differences from Yampa === 

−  
−  If you are not familiar with Yampa or Animas, you can safely skip this section. 

−  
−  The main difference between Yampa and Netwire is that the underlying arrow is impure. While you can choose not to use the impure wires inside of the '''FRP.NetWire.IO''' module, it is a design choice for this library to explicitly allow impure computations. One theoretical implication is that you need to differentiate between pure stateless, pure stateful and impure signal transformations. 

−  
−  A concept not found in Yampa is signal inhibition. A wire can choose not to return anything. This way you can temporarily block entire subnetworks. This is most useful with the combination operator ''<+>''. Example: 

−  
−  <haskell> 

−  w = w1 <+> w2 

</haskell> 
</haskell> 

−  The ''w'' wire runs its signal through the wire ''w1'', and if it inhibits, it passes the signal to ''w2''. 
+  For some arrows <hask>(>~)</hask> and all monoids <hask>e</hask> the type <hask>Wire e (>~)</hask> is an arrow. Only certain arrows are allowed for <hask>(>~)</hask>, because <hask>Wire</hask> is actually a data family. These arrows are called base arrows in Netwire. 
−  
−  Another concept not found in Yampa is choice. Through the ''ArrowChoice'' instance wires allow you to choose one of a set of subwires for its signal without needing a switch. Essentially you can write ''if'' and ''case'' constructs inside of arrow notation. 

−  
−  Because of their impurity wires do not have an ''ArrowLoop'' instance. It is possible to write one, but it will diverge most of the time, rendering it useless. 

−  
−  
−  === Using a wire === 

−  
−  To run a wire you will need to use the ''withWire'' and ''stepWire'' functions. The ''withWire'' initializes a wire and gives you a ''Session'' value. As metioned earlier in general a wire is a function, which can mutate itself over time. The session value captures the current state of the wire. 

<haskell> 
<haskell> 

−  initWire :: Wire a b > (Session a b > IO c) > IO c 
+  comp :: Wire e (>~) a b 
−  stepWire :: a > Session a b > IO (Maybe b) 

</haskell> 
</haskell> 

−  The ''stepWire'' function passes the given input value through the wire. If you use ''stepWire'', then the wire will mutate in real time. If you need a different rate of time, you can use ''stepWireDelta'' or ''stepWireTime'' instead. The ''stepWireDelta'' function takes a time delta, and the ''stepWireTime'' function takes the current time (which doesn't need to be the real time): 
+  Values of type <hask>Wire e (>~) a b</hask> are timevarying functions, which resemble the following type: 
<haskell> 
<haskell> 

−  stepWireDelta :: Double > a > Session a b > IO (Maybe b) 
+  a >~ Either e b 
−  stepWireTime :: UTCTime > a > Session a b > IO (Maybe b) 

</haskell> 
</haskell> 

−  Note that it is allowed to give zero or negative deltas and times, which are earlier than the last time. This lets you run the system backwards in time. If you do that, your wire should be prepared to handle it properly. 
+  So it's a function that takes a value of type <hask>a</hask> and either produces a value of type <hask>b</hask> or produces no value, but instead ''inhibits'' with a value of type <hask>e</hask>. The act of running a wire is called ''stepping'' and the process is called an ''instant''. You can step a wire through one of the stepping functions, which we will cover later. When you step a wire, it will return a new version of itself along with its result. You are supposed to call the new version the next time you step. 
−  The stepping functions return a ''Maybe b''. If the wire inhibits, then the result is ''Nothing'', otherwise it will be ''Just'' the output. Here is a complete example: 
+  === The inhibition monoid === 
−  <haskell> 
+  The <hask>e</hask> argument to <hask>Wire</hask> is called the inhibition monoid. For simple applications you can just use <hask>()</hask> here, but you may want to actually assign exception values to inhibition. We will cover that later. For now just use <hask>()</hask>. 
−  {# LANGUAGE Arrows #} 

−  module Main where 
+  === Base arrows === 
−  import Control.Monad 
+  The <hask>(>~)</hask> argument to <hask>Wire</hask> is called the base arrow. In most cases you will use a <hask>Kleisli</hask> arrow here, and this is currently the only type of arrow supported, though more will be added in the future. For simple applications you can just use the <hask>IO</hask> monad, and it is useful to define a type alias for your custom wire type: 
−  import FRP.NetWire 

−  import Text.Printf 

−  
−  
−  myWire :: Wire () String 

−  myWire = 

−  proc _ > do 

−  t < time < () 

−  fps < avgFps 1000 < () 

−  fpsPeak < highPeak < fps 

−  
−  if t < 4 

−  then identity < "Waiting four seconds." 

−  else identity < 

−  printf "Got them! (%8.0f FPS, peak: %8.0f)" 

−  fps fpsPeak 

−  
−  
−  main :: IO () 

−  main = withWire myWire loop 

−  where 

−  loop :: Session () String > IO () 

−  loop session = 

−  forever $ do 

−  mResult < stepWire () session 

−  case mResult of 

−  Nothing > putStr "Signal inhibted." 

−  Just x > putStr x 

−  putChar '\r' 

−  </haskell> 

−  
−  This program should display the string "Waiting four seconds." for four seconds and then switch to a string, which displays the current average frames per second and peak frames per second. 

−  
−  Note: Sessions are threadsafe. You are allowed to use the stepping functions for the same session from multiple threads. This makes it easy to implement conditional stepping based on system events. 

−  
−  == Writing a wire == 

−  
−  I will assume that you are familiar with arrow notation, and I will use it instead of the raw arrow combinators most of the time. If you haven't used arrow notation before, see the [http://www.haskell.org/ghc/docs/latest/html/users_guide/arrownotation.html GHC arrow notation manual]. 

−  
−  === Time === 

−  
−  To use this library you need to understand the concept of time very well. Netwire has a continuous time model, which means that when you write your applications you disregard the discrete steps, in which your wire is executed. 

−  
−  Technically at each execution instant (i.e. each time you run ''stepWire'' or one of the other stepping functions) the wire is fed with the input as well as a time delta, which is the time passed since the last instant. Hence wires do not by themselves keep track of what time it is, since most applications don't need that anyway. If you need a clock, you can use the predefined ''time'' wire, which will be explained later. 

−  
−  Wires have a local time, which can be different from the global time. This can happen, when a wire is not actually run, because an earlier wire inhibited the signal. It also happens, when you use choice. For example you can easily write a gateway, which repeatedly runs one wire the one second and another wire the other second. While one wire is run, the other wire is suspended, including its local time. 

−  
−  Local time is a switching effect, which is especially visible, when you use the switching combinators from '''FRP.NetWire.Switch'''. Local time starts when switching in. 

−  
−  Time is measured in ''Double'' in Netwire. To improve type signatures there are two type aliases defined for you: 

<haskell> 
<haskell> 

−  type DTime = Double 
+  type MyWire = Wire () (Kleisli IO) 
−  type Time = Double 

</haskell> 
</haskell> 

−  While ''Time'' refers to time, ''DTime'' refers to time deltas, i.e. time differences. 

−  === Pure stateless wires === 
+  == Running wires == 
−  Pure stateless wires are easy to explain, so let's start with them. A pure stateless wire is essentially just a function of input. The simplest wire is the ''identity'' wire. It just returns its input verbatim: 
+  For running a wire you can use the stepping functions available in the <hask>Control.Wire.Session</hask> module. There is no need to import that module. It is automatically imported with <hask>Control.Wire</hask>. For Kleislibased wires you will want to use the <hask>stepWireM</hask> function: 
<haskell> 
<haskell> 

−  identity :: Wire a a 
+  stepWireM :: 
+  Monad m 

+  => Wire e (Kleisli m) a b 

+  > a 

+  > m (Either e b, Wire e (Kleisli m) a b) 

</haskell> 
</haskell> 

−  If you run such a wire (see the previous section), then you will just get your input back all the time. Another simple wire is the ''constant'' wire, which also disregards time: 
+  In our case we have <hask>m = IO</hask>, so our type signature is simply: 
<haskell> 
<haskell> 

−  constant :: b > Wire a b 
+  stepWireM :: MyWire a b > a > IO (Either () b, MyWire a b) 
</haskell> 
</haskell> 

−  If you run the wire <code>constant 15</code>, you will get as output the number 15 all the time, regardless of the current time and the input. 
+  This function takes a wire and an input value. It passes the input value to the wire and returns its result value of type <hask>Either () b</hask>. Along with the result it also returns a new wire. Normally you would call <hask>stepWireM</hask> in a loop, which performs instant after instant. This is the basic structure: 
−  
−  :'''Note''': You can express ''identity'' as ''arr id'', but you should prefer ''identity'', because it's faster. Likewise you can express ''constant x'' as ''arr (const x)'', but again you should prefer ''constant''. 

−  
−  === Pure stateful wires === 

−  
−  Let's see a slightly more interesting wire. The ''time'' wire will return the current local time. What ''local'' means in this context was explained earlier. 

<haskell> 
<haskell> 

−  time :: Wire a Double 
+  system :: MyWire Int String 
−  </haskell> 
+  system = { ... } 
−  As the type suggests, time is measured in seconds and represented as a ''Double''. The local time starts from 0 at the point, where the wire starts to run. There is also a wire, which counts time from a different origin: 
+  main :: IO () 
+  main = loop system 

+  where 

+  loop :: MyWire Int String > IO () 

+  loop w' = do 

+  (mx, w) < stepWireM w' 15 

−  <haskell> 
+  { ... do something with mx ... } 
−  timeFrom :: Double > Wire a Double 

−  </haskell> 

−  The difference between these stateful and the stateless wires from the previous section is that stateful wires mutate themselves over time. The ''timeFrom x'' wire calculates the current time as ''x'' plus the current time delta. Let's say that sum is ''y''. It then mutates into the wire ''timeFrom y''. As you can see there is no internal clock. It is really this selfmutation, which gives you a clock. 
+  loop w  loop with the new wire. 
−  
−  === Calculus === 

−  
−  One of the compelling features of FRP is integration and differentiation over time. It is a very cheap operation to integrate over time. In fact the ''time'' wire you have seen in the last section is really just the integral of the constant 1. Here is the type of the ''integral'' wire, which integrates over time: 

−  
−  <haskell> 

−  integral :: Double > Wire Double Double 

</haskell> 
</haskell> 

−  The argument is the integration constant or starting value. The input is the subject of integration. Let's write a clock, which runs at half the speed of the real clock: 
+  Note: Even though the FRP idea suggests it, there is no reason to run wires continuously or even regularly. You can totally have an instant depending on user input, a GUI event or network traffic, so instants can be minutes apart. 
−  <haskell> 
+  === Testing wires === 
−  slowClock :: Wire a Double 

−  slowClock = proc _ > integral 0 < 0.5 

−  </haskell> 

−  Since the integration constant is 0, the time will start at zero. Integration becomes more interesting, as soon as you integrate nonconstants: 
+  There is a convenient function for testing wires, which does all the plumbing for you. It's called <hask>testWireM</hask>: 
<haskell> 
<haskell> 

−  particle :: Wire a Double 
+  testWireM :: 
−  particle = 
+  (Show e, MonadIO m) 
−  proc _ > do 
+  => Int 
−  v < integral 1 < 0.1 
+  > m a 
−  integral 15 < v 
+  > Wire e (Kleisli m) a String 
+  > m () 

</haskell> 
</haskell> 

−  This wire models a onedimensional particle, which starts at position 15 and velocity +1. A constant acceleration of 0.1 per second per second is applied to the velocity, hence the particle moves right towards positive infinity at first, while gradually becoming slower, until it reverses its direction and moves left towards negative infinity. 
+  For wires returning a string, you can easily test them using this function. The first argument is a FPS/accuracy tradeoff. If it's 100, it will only print the output of every 100th instant. The second argument is an input generator action. At each instant, this action is run and its result is passed as input to the wire. The wire's output is then printed. <hask>testWireM</hask> prints the output continuously on a single line: 
−  
−  The above type signature is actually a special case, which i provided for the sake of simplicity. The real type signature is a bit more interesting: 

<haskell> 
<haskell> 

−  integral :: 
+  main :: IO () 
−  (NFData v, VectorSpace v, Scalar v ~ Double) => 
+  main = testWireM 1000 (return 15) system 
−  v > Wire v v 

</haskell> 
</haskell> 

−  You can integrate over time in any real vector space. Some examples of vector spaces include tuples, complex numbers and any type, for which you define ''NFData'' and ''VectorSpace'' instances. Let's see the particle example in two dimensions: 

−  
−  <haskell> 

−  particle2D :: Wire a (Double, Double) 

−  particle2D = 

−  proc _ > do 

−  v < integral (1, 0.5) < (0.1, 0.4) 

−  integral (0, 0) < v 

−  </haskell> 

−  
−  Differentiation works similarly, although there are two variants: 

−  
−  <haskell> 

−  derivative :: Wire Double Double 

−  derivativeFrom :: Double > Wire Double Double 

−  </haskell> 

−  
−  The difference between the two variants is that ''derivative'' will inhibit at the first instant (inhibition is explained later), because it needs at least two samples to compute the rate of change over time. The ''derivativeFrom'' variant does not have that shortcoming, but you need to provide the first sample as an argument. 

−  
−  Again I have simplified the types to help understanding. Just like with integration you can differentiate over any vectorspace, as long as your type has an ''NFData'' instance. 

−  === Events === 
+  == Writing wires == 
−  Events are a useful tool to add discrete values to the system. As the name states an event usually denotes some condition or external event, which can be present at some instants and absent at others. A common use case for events is user input. 
+  === Predefined wires === 
−  Technically events are nothing special. Since they simply denote values, which can be absent, they are simply ''Maybe'' values. Netwire defines a type alias ''Event'' to enable you to be more specific in your type signatures: 
+  There are numerous predefined wires, which you can compose using the arrow interface. We will practice that with three very simple predefined wires (the type signatures are simplified for the sake of learning): 
<haskell> 
<haskell> 

−  type Event = Maybe 
+  constant :: b > Wire e (>~) a b 
+  identity :: Wire e (>~) b b 

+  countFrom :: Enum b => b > Wire e (>~) a b 

</haskell> 
</haskell> 

−  There is a large number of event wires in the '''FRP.NetWire.Event''' module. I will give you examples for some of the common ones here. It is worthwhile to have a look at the aforementioned module. 
+  The ''constant'' function takes an output value and produces a wire which produces that value constantly. So the wire <hask>constant 15</hask> will output 15 constantly at every instant. In other words, <hask>stepWireM</hask> will return <hask>Right 15</hask> along with a new wire that outputs 15 again: 
−  
−  ==== after ==== 

<haskell> 
<haskell> 

−  after :: DTime > Wire a (Event a) 
+  stepWireM (constant 15) inp 
+  > (Right 15, constant 15) 

</haskell> 
</haskell> 

−  The ''after'' wire causes an event after a certain number of seconds. This means that the output signal is ''Nothing'', until the specified time has passed, at which point the output becomes ''Just x'' for a single instant, where ''x'' is the input value at that instant. After that the event never happens again. 
+  Note the fully polymorphic input type <hask>a</hask>. This basically means that the wire disregards its input, so whatever <hask>inp</hask> is, it is ignored. 
−  ==== once ==== 
+  The ''identity'' wire is slightly more interesting. It has input and output of type <hask>b</hask>. What it does is: It simply outputs its input value at every instant: 
<haskell> 
<haskell> 

−  once :: Wire (Event a) (Event a) 
+  stepWireM identity inp 
+  > (Right inp, identity) 

</haskell> 
</haskell> 

−  This wire takes a potential event. It waits, until the event happens (i.e. the input becomes a ''Just''). It outputs the event once and then never again, even if the event happens again in the future. 
+  Both identity and constant wires are examples of ''stateless'' wires. They don't change over time. You can see this in the stepping examples above. They always return themselves for the next instant. 
−  ==== repeatedly ==== 
+  The ''countFrom'' function takes a starting value and returns a wire that returns sequential values instant by instant. This is the first example of a ''stateful'' wire, because it changes over time: 
<haskell> 
<haskell> 

−  repeatedly :: Wire (DTime, a) (Event a) 
+  stepWireM (countFrom 15) inp 
−  </haskell> 
+  > (Right 15, countFrom 16) 
−  This wire takes two input signals. It produces events repeatedly after the time delta given by the left signal. This delta can change over time, making the event happen more or less frequently. The right signal is the desired event value. 
+  stepWireM (countFrom 16) inp 
−  +  > (Right 16, countFrom 17) 

−  ==== hold ==== 

−  
−  <haskell> 

−  hold :: a > Wire (Event a) a 

</haskell> 
</haskell> 

−  This wire turns events into continuous signals. At the beginning the output is the value given by the argument. Each time the input event occurs, the ouput switches to its value and keeps it until the next event occurs. 
+  === Composing wires === 
−  === Random numbers === 
+  The main feature of wires is that you can compose them using the arrow interface. There is a rich set of ways for composing, and you will want to use arrow notation for your convenience: 
−  
−  Netwire provides a few wires for random noise generation. Probably the most important one is the ''noise'' wire: 

<haskell> 
<haskell> 

−  noise :: Wire a Double 
+  system :: MyWire a String 
+  system = 

+  proc _ > do 

+  c1 < countFrom 10 < () 

+  c2 < countFrom 20 < () 

+  identity < printf "%d %d" (c1 :: Int) (c2 :: Int) 

</haskell> 
</haskell> 

−  This wire outputs a random number between 0 (inclusive) and 1 (exclusive). The underlying random number generator is a fast implementation of the Mersenne Twister algorithm provided by Don Stewart's [http://hackage.haskell.org/package/mersennerandom mersennerandom] package. 
+  In applications it is common to write wires that ignore their input. For those wires you should make the input type fully polymorphic to indicate this. Running this wire produces: 
−  
−  === Signal analysis === 

−  
−  Netwire provides some wires to perform signal analysis. One useful wire is ''diff'': 

<haskell> 
<haskell> 

−  diff :: Eq a => Wire a (Event (a, Time)) 
+  stepWireM system () 
−  </haskell> 

−  This wire emits an event, whenever the input signal changes. The event contains the last value as well as the time elapsed since then. One possible use case is file monitoring. Pass the file's modification time or even its contents as the input signal. 
+  1st instant: Right "10 20" 
−  +  2nd instant: Right "11 21" 

−  Another useful wire is ''avg'', which computes the average value of the input signal over the specified number of most recent samples: 
+  3rd instant: Right "12 22" 
−  
−  <haskell> 

−  avg :: Int > Wire Double Double 

</haskell> 
</haskell> 

−  Since the ''noise'' wire returns random numbers between 0 and 1, if you pass the output of ''noise'' through ''avg x'' you should get a value close to 0.5, if the argument ''x'' is suitably large: 
+  Note: You can use the ''testWireM'' function with this wire. The following action will run the wire continuously printing its result at every 1000th instant: 
<haskell> 
<haskell> 

−  avgOfNoise :: Wire a Double 
+  main :: IO () 
−  avgOfNoise = avg 1000 <<< noise 
+  main = testWireM 1000 (return ()) system 
</haskell> 
</haskell> 

−  An interesting special case of ''avg'' is the ''avgFps'' wire, which is very useful for performance analysis. It returns the average frames per second: 
+  In the FRP context we often talk about ''signals''. Particularly in the context of ''arrowized'' FRP (AFRP) like Netwire we talk about ''signal networks'' and signals passing through them. The ''system'' wire is your first signal network. It ignores its input signal and passes the signal <hask>()</hask> to the two counters (which ignore their input signals, too). It takes the output signals <hask>c1</hask> and <hask>c2</hask> and makes a formatted string out of them. Finally this string is passed to the <hask>identity</hask> wire. This is the last wire in the signal network ''system'', so its output signal is the output signal of ''system''. As a side note the ''identity'' wire behaves like ''returnA''. 
−  <haskell> 
+  The main feature to note here is that all of the subwires in the composition evolve individually. So in the second instant, each of the two counters will have gone up by one. This alone gives you a powerful abstraction for stateful computations. The equivalent when using a state monad or mutable variables would be to have a global state value with two counter values. By having timevarying functions you can have something called ''local state''. Each of the two counters (or as many as you use) have their own individual local state, which is the current counter value. This is way more convenient and composable than a state monad or other imperative state abstractions. 
−  avgFps :: Int > Wire a Double 

−  </haskell> 

−  Both ''avg'' and ''avgFps'' calculate the average over a certain number of most recent samples. While they have a constant time complexity O(1) they have a linear space complexity of O(n), where ''n'' is the number of samples. In some cases it can be fine to consider calculating the average over all samples forever. The ''avgAll'' wire does exactly that: 
+  === Choice === 
−  <haskell> 
+  In traditional AFRP solutions like Yampa the path of a signal is fully determined by the structure of the signal network. In Netwire a signal can choose one of multiple paths by using the <hask>case</hask> and <hask>if</hask> constructs: 
−  avgAll :: Wire Double Double 

−  </haskell> 

−  
−  Unlike ''avg'' and ''avgFps'' this variant uses not only constant time, but also constant space. 

−  
−  There are also wires for finding peaks. The ''highPeak'' and ''lowPeak'' wires output the high and low peaks respectively for their input: 

<haskell> 
<haskell> 

−  highPeak :: (NFData a, Ord a) => Wire a a 
+  system = 
−  lowPeak :: (NFData a, Ord a) => Wire a a 
+  proc _ > do 
+  c1 < countFrom 10 < () 

+  if even c1 

+  then returnA < "We don't want even c1" 

+  else do 

+  c2 < countFrom 20 < () 

+  returnA < printf "%d %d" (c1 :: Int) (c2 :: Int) 

</haskell> 
</haskell> 

−  Again the type signatures are only special cases. See the library documentation for the real types. In short, you can get averages of any fractional input value. 
+  If the <hask>c1</hask> signal is even, then the wire outputs the string "We don't want even c1". Otherwise it takes the second path. Here it is important to know that the second counter will be suspended, when <hask>c1</hask> is even, because the <hask>else</hask> branch is not reached. A wire can only evolve, when it is actually reached. So in this example <hask>c2</hask> will run at half the speed of <hask>c1</hask> and the output will look like: 
−  
−  === Unique request numbers === 

−  
−  Sometimes you might want to generate numbers, which are unique throughout the wire session. For example you might want to manage game objects, open file handles or something similar. The ''identifier'' wire generates such unique numbers: 

−  
−  <haskell> 

−  identifier :: Wire a Int 

−  </haskell> 

−  
−  At the first instance it chooses a unique number and the returns that number forever. 

−  
−  === Impure wires === 

−  
−  As noted earlier wires are allowed to perform impure operations. There are three related utilities for this task: 

−  
−  <haskell> 

−  execute :: Wire (IO a) a 

−  </haskell> 

−  
−  The ''execute'' wire is the simplest wire for impure operations. It takes an ''IO'' action as its input signal and outputs its result. If the action throws an exception, then this wire inhibits. Signal inhibition is explained in a later section. 

−  
−  <haskell> 

−  executeEvery :: Wire (DTime, IO a) a 

−  </haskell> 

−  
−  The ''executeEvery'' wire is useful for monitoring external resources. It takes two input signals. The right signal is an ''IO'' action, which is executed at intervals given by the left signal. The output is the most recent result of the action. This wire inhibits, until the action has returned a result for the first time. Note that ''executeEvery'' adheres to the interval, even if the action throws an exception. 

−  
−  You may want to combine this wire with the ''diff'' wire to develop a wire, which reacts to changes. 

<haskell> 
<haskell> 

−  executeOnce :: Wire (IO a) a 
+  1st instant: "We don't want even c1" 
+  2nd instant: "11 20" 

+  3rd instant: "We don't want even c1" 

+  4th instant: "13 21" 

+  5th instant: "We don't want even c1" 

+  6th instant: "15 22" 

+  7th instant: "We don't want even c1" 

</haskell> 
</haskell> 

−  The ''executeOnce'' wire executes the action given by the input signal once at each instant, until it succeeds without an exception. The wire inhibits, until a result is available, at which point it returns that result forever without executing the action ever again. 
+  [[Category:FRP]] 
Revision as of 18:17, 1 December 2011
Netwire is a library for functional reactive programming, which uses the concept of arrows for modelling an embedded domainspecific language. This language lets you express reactive systems, which means systems that change over time. It shares the basic concept with Yampa and its fork Animas, but it is itself not a fork and has many additional features.
This wiki page corresponds to Netwire version 3 and is currently a work in progress.
Contents 
1 Features
Here is a list of some of the features of Netwire:
 arrow interface (or optionally an applicative interface),
 signal inhibition (ArrowZero / Alternative),
 signal selection (ArrowPlus / Alternative),
 selfadjusting wires (ArrowChoice),
 rich set of event wires,
 signal analysis wires (average, peak, etc.),
 effectful wires.
2 Basics
The Netwire library is based around a data type calledimport Control.Wire data Wire e (>~) a b
comp :: Wire e (>~) a b
a >~ Either e b
2.1 The inhibition monoid
The2.2 Base arrows
Thetype MyWire = Wire () (Kleisli IO)
3 Running wires
For running a wire you can use the stepping functions available in thestepWireM :: Monad m => Wire e (Kleisli m) a b > a > m (Either e b, Wire e (Kleisli m) a b)
stepWireM :: MyWire a b > a > IO (Either () b, MyWire a b)
system :: MyWire Int String system = { ... } main :: IO () main = loop system where loop :: MyWire Int String > IO () loop w' = do (mx, w) < stepWireM w' 15 { ... do something with mx ... } loop w  loop with the new wire.
Note: Even though the FRP idea suggests it, there is no reason to run wires continuously or even regularly. You can totally have an instant depending on user input, a GUI event or network traffic, so instants can be minutes apart.
3.1 Testing wires
There is a convenient function for testing wires, which does all the plumbing for you. It's calledtestWireM :: (Show e, MonadIO m) => Int > m a > Wire e (Kleisli m) a String > m ()
main :: IO () main = testWireM 1000 (return 15) system
4 Writing wires
4.1 Predefined wires
There are numerous predefined wires, which you can compose using the arrow interface. We will practice that with three very simple predefined wires (the type signatures are simplified for the sake of learning):
constant :: b > Wire e (>~) a b identity :: Wire e (>~) b b countFrom :: Enum b => b > Wire e (>~) a b
stepWireM (constant 15) inp > (Right 15, constant 15)
stepWireM identity inp > (Right inp, identity)
Both identity and constant wires are examples of stateless wires. They don't change over time. You can see this in the stepping examples above. They always return themselves for the next instant.
The countFrom function takes a starting value and returns a wire that returns sequential values instant by instant. This is the first example of a stateful wire, because it changes over time:
stepWireM (countFrom 15) inp > (Right 15, countFrom 16) stepWireM (countFrom 16) inp > (Right 16, countFrom 17)
4.2 Composing wires
The main feature of wires is that you can compose them using the arrow interface. There is a rich set of ways for composing, and you will want to use arrow notation for your convenience:
system :: MyWire a String system = proc _ > do c1 < countFrom 10 < () c2 < countFrom 20 < () identity < printf "%d %d" (c1 :: Int) (c2 :: Int)
In applications it is common to write wires that ignore their input. For those wires you should make the input type fully polymorphic to indicate this. Running this wire produces:
stepWireM system () 1st instant: Right "10 20" 2nd instant: Right "11 21" 3rd instant: Right "12 22"
Note: You can use the testWireM function with this wire. The following action will run the wire continuously printing its result at every 1000th instant:
main :: IO () main = testWireM 1000 (return ()) system
The main feature to note here is that all of the subwires in the composition evolve individually. So in the second instant, each of the two counters will have gone up by one. This alone gives you a powerful abstraction for stateful computations. The equivalent when using a state monad or mutable variables would be to have a global state value with two counter values. By having timevarying functions you can have something called local state. Each of the two counters (or as many as you use) have their own individual local state, which is the current counter value. This is way more convenient and composable than a state monad or other imperative state abstractions.
4.3 Choice
In traditional AFRP solutions like Yampa the path of a signal is fully determined by the structure of the signal network. In Netwire a signal can choose one of multiple paths by using thesystem = proc _ > do c1 < countFrom 10 < () if even c1 then returnA < "We don't want even c1" else do c2 < countFrom 20 < () returnA < printf "%d %d" (c1 :: Int) (c2 :: Int)
1st instant: "We don't want even c1" 2nd instant: "11 20" 3rd instant: "We don't want even c1" 4th instant: "13 21" 5th instant: "We don't want even c1" 6th instant: "15 22" 7th instant: "We don't want even c1"