Difference between revisions of "Netwire"
(Choice and signal inhibition) 
(Added subsection Examples and a link to tetrishs) 

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−  Netwire is a 
+  Netwire is a [[Functional Reactive Programmingfunctional reactive programming]] library that provides both an applicative and an arrow interface. It allows you to express timevarying values with a rich event system. 
−  
−  :[http://hackage.haskell.org/package/netwire Download netwire] 

+  * [http://hackage.haskell.org/package/netwire Project page] 

+  * [http://hub.darcs.net/ertes/netwire Source repository] 

== Features == 
== Features == 

−  Here is a list of some of the features of 
+  Here is a list of some of the features of Netwire: 
−  
−  * arrowized interface, 

−  * applicative interface, 

−  * signal inhibition (''ArrowZero'' / ''Alternative''), 

−  * choice and combination (''ArrowPlus'' / ''Alternative''), 

−  * selfadjusting wires (''ArrowChoice''), 

−  * rich set of event wires, 

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

−  * impure 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. 

−  
−  === The wire === 

−  
−  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> 

−  data Wire a b 

−  </haskell> 

−  
−  
−  === 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> 

−  
−  The ''w'' wire runs its signal through the wire ''w1'', and if it inhibits, it passes the signal to ''w2''. 

−  
−  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> 

−  initWire :: Wire a b > (Session a b > IO c) > IO c 

−  stepWire :: a > Session a b > IO (Maybe b) 

−  </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): 

−  
−  <haskell> 

−  stepWireDelta :: Double > a > Session a b > IO (Maybe b) 

−  stepWireTime :: UTCTime > a > Session a b > IO (Maybe b) 

−  </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. 

−  
−  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: 

−  
−  <haskell> 

−  {# LANGUAGE Arrows #} 

−  
−  module Main where 

−  
−  import Control.Monad 

−  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> 

−  type DTime = Double 

−  type Time = Double 

−  </haskell> 

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

−  
−  === Pure stateless 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: 

−  
−  <haskell> 

−  identity :: Wire a a 

−  </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: 

−  
−  <haskell> 

−  constant :: b > Wire a b 

−  </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. 

−  
−  :'''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> 

−  time :: Wire a Double 

−  </haskell> 

−  
−  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: 

−  
−  <haskell> 

−  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. 

−  
−  === 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> 

−  
−  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: 

−  
−  <haskell> 

−  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: 

−  
−  <haskell> 

−  particle :: Wire a Double 

−  particle = 

−  proc _ > do 

−  v < integral 1 < 0.1 

−  integral 15 < v 

−  </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. 

−  
−  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> 

−  integral :: 

−  (NFData v, VectorSpace v, Scalar v ~ Double) => 

−  v > Wire v v 

−  </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 === 

−  
−  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. 

−  
−  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: 

−  
−  <haskell> 

−  type Event = Maybe 

−  </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. 

−  
−  ==== after ==== 

−  
−  <haskell> 

−  after :: DTime > Wire a (Event a) 

−  </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. 

−  
−  ==== once ==== 

−  
−  <haskell> 

−  once :: Wire (Event a) (Event a) 

−  </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. 

−  
−  ==== repeatedly ==== 

−  
−  <haskell> 

−  repeatedly :: Wire (DTime, a) (Event a) 

−  </haskell> 

−  
−  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. 

−  
−  ==== hold ==== 

−  
−  <haskell> 

−  hold :: a > Wire (Event a) a 

−  </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. 

−  
−  === Random numbers === 

−  
−  Netwire provides a few wires for random noise generation. Probably the most important one is the ''noise'' wire: 

−  
−  <haskell> 

−  noise :: Wire a Double 

−  </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. 

−  
−  === Signal analysis === 

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

−  
−  <haskell> 

−  diff :: Eq a => Wire a (Event (a, Time)) 

−  </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. 

−  
−  Another useful wire is ''avg'', which computes the average value of the input signal over the specified number of most recent samples: 

−  
−  <haskell> 

−  avg :: Int > Wire Double Double 

−  </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: 

−  
−  <haskell> 

−  avgOfNoise :: Wire a Double 

−  avgOfNoise = avg 1000 <<< noise 

−  </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: 

−  
−  <haskell> 

−  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: 

−  
−  <haskell> 

−  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> 

−  highPeak :: (NFData a, Ord a) => Wire a a 

−  lowPeak :: (NFData a, Ord a) => Wire a a 

−  </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. 

−  
−  === 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> 

−  executeOnce :: Wire (IO a) a 

−  </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. 

−  
−  
−  == Choice == 

−  
−  Wires can branch into multiple subwires, sending a signal to a subset of them. The easiest method to do that is using the ''ArrowChoice'' instance, which effectively enables you to use ''if'' and ''case'' inside of arrow notation: 

−  
−  <haskell> 

−  myWire :: Wire Double Double 

−  myWire = 

−  proc x > do 

−  t < time < () 

−  if t < 4 

−  then identity < x 

−  else integral 0 < 0.2 

−  </haskell> 

−  
−  This wire acts like the identity wire for four seconds and then switches into a clock, which starts at 0 and runs at 1/5 of the speed of time. The clock indeed starts at 0, because choice is exclusive. The wires, which have not been chosen are suspended. This effectively freezes their local time. 

−  
−  Another method to perform choice is to use one of the parallel switches, which are explained in a later section. 

−  
−  
−  == Signal inhibition == 

+  * applicative interface (or optionally an arrow interface), 

−  A wire may choose not to return anything, at which point it is said to be inhibiting. If the whole wire network inhibits, then the stepping functions will return ''Nothing''. If a wire in a sequence of wires inhibits, the later wires are not run. 

+  * signal intervals, 

+  * dynamic switching, 

+  * rich set of predefined functionality, 

+  * signal analysis (average, interpolation, peak, etc.), 

+  * effectful reactive systems. 

−  +  == Scope == 

+  Netwire's FRP framework is intended to be used for continuous applications. It replaces the traditional big main loop with its global state and event callbacks/branching by a completely declarative model. The following types of applications can benefit from using Netwire: 

−  There are many ways to inhibit, the simplest being unconditional inhibition, which can be done with the ''inhibit'' wire: 

+  * artificial intelligence and bots, 

−  <haskell> 

+  * canvasbased graphics and animations, 

−  inhibit :: Wire a b 

+  * continuous signal synthesis (audio waves, etc.), 

−  </haskell> 

+  * games and game servers, 

+  * scenebased user interfaces (like OpenGL and vty), 

+  * simulations. 

+  If you can sensibly break your application down into ''frames'', then Netwire is for you. For other kinds of reactive applications like widgetbased UIs you may want to look into [[reactivebanana]] instead. 

−  This wire disregards its input and doesn't return. Note that ''inhibit'' is just a better name for the ''zeroArrow'' wire from the ''ArrowZero'' type class. You can use that one, if you prefer. 

−  In general you would prefer inhibition based on a predicate, for which there exist multiple ways. One simple way is to use ''inhibit'' together with choice: 

+  == Get started == 

−  <haskell> 

−  waitOneSecond :: Wire a a 

−  waitOneSecond = 

−  proc x > do 

−  t < time < () 

−  if t < 1 then inhibit < () 

−  else identity < x 

−  </haskell> 

+  The documentation is contained within the package itself, but you can also read it online: 

−  This wire inhibits for one second and after that acts like the identity wire. Note that there is another way to write this wire using some of the predefined wires: 

+  * [http://hub.darcs.net/ertes/netwire/browse/README.md Tutorial] 

−  <haskell> 

+  * [http://hackage.haskell.org/package/netwire Project page with API docs] 

−  waitOneSecond :: Wire a a 

−  waitOneSecond = 

−  proc x > do 

−  ev < after 1 < () 

−  swallow wait < ev 

−  identity < x 

−  </haskell> 

−  The ''after'' wire was explained later. It will emit an event after one second. The ''wait'' wire extracts the event's value and returns it, unless no event happened, at which point it simply inhibits. However, the event occurs only once, so this would normally act like the identity wire for an instant and then return to inhibition. This is where ''swallow'' comes into play. 

+  === Other reading === 

−  <haskell> 

−  swallow :: Wire a b > Wire a b 

−  </haskell> 

+  * [http://todayincode.tumblr.com/post/96914679355/almostanetwire5tutorial Almost a Netwire 5 Tutorial] 

−  The ''swallow'' wire encapsulates the wire given as its argument and modifies its behaviour in the following way: As long as the inner wire inhibits, the ''swallow'' wire also inhibits, but as soon as the inner wire produces a result, ''swallow'' switches into the constant wire with that result. In other words, it waits for the first signal from the inner wire and then keeps that result forever. 

−  In this case ''wait'' would only produce a result once, but because it is wrapped by ''swallow'' this result is kept forever and the inner ''wait'' wire is dropped from the network. 

+  === Examples === 

−  The ''swallow'' function is actually our first wire transformer. It takes a wire and encapsulates it modifying its behaviour. 

+  * [https://github.com/ScrambledEggsOnToast/tetrishs tetrishs] 

−  === Combining === 

−  You can combine two wires using the ''<+>'' combinator. This combinator comes from the ''ArrowPlus'' class and takes two wires as its argument. It passes the signal through the left wire. If that wire inhibits, it passes the signal to the right wire. The result of the first noninhibiting wire is returned. If both wires inhibit, their combination inhibits. 

+  == Model and correctness == 

−  Note that if the first wire results, the second one is not run at all, thus ''<+>'' is leftbiased. The following identities hold: 

+  Netwire's underlying abstraction is more powerful than the [http://conal.net/papers/icfp97/ original formulation of timevarying values]. It allows you to implement general component systems with local state. 

−  <haskell> 

−  w1 <+> inhibit = w1 

−  inhibit <+> w2 = w2 

−  </haskell> 

+  Starting with Netwire 5 there are two module trees <hask>Control.Wire</hask> and <hask>FRP.Netwire</hask>. The latter exports a subset of Netwire that closely follows the original model and provides a set of predefined FRP wires. 

−  === Exhibition === 

+  Signal intervals are an extension of the original model and an integral part of Netwire: A behavior is a ''partial'' function of time with the limitation that both the defined and undefined intervals must have a nonzero length. This extension makes it much easier to express switching and multicasting systems. 

−  Sometimes you may want to observe inhibition. You can use the ''exhibit'' wire transformer for that purpose: 

+  == History == 

−  <haskell> 

−  exhibit :: Wire a b > Wire a (Maybe b) 

−  </haskell> 

+  This project started in 2011 as a replacement for Yampa to provide both a nicer interface and better integration into existing frameworks. Its original purpose was to power game servers and intelligent network bots. That's the origin of the name ''Netwire''. 

−  It takes its argument wire and runs the input signal through it. If the inner wire inhibits, then ''exhibit'' returns ''Nothing''. It never inhibits. Thus the following identity holds: 

+  However, before its first release ''signal intervals'' were added (originally under the term ''signal inhibition''). Netwire became a completely new abstraction, so it lost its connection to Yampa. 

−  <haskell> 

−  exhibit w1 <+> w2 = exhibit w1 

−  </haskell> 

+  [[Category:FRP]] 

−  Note that this suggests correctly that signal inhibition can be interpreted as arrow exceptions, and ''exhibit'' acts like the ''try'' combinator. 
Latest revision as of 21:39, 2 October 2014
Netwire is a functional reactive programming library that provides both an applicative and an arrow interface. It allows you to express timevarying values with a rich event system.
Features
Here is a list of some of the features of Netwire:
 applicative interface (or optionally an arrow interface),
 signal intervals,
 dynamic switching,
 rich set of predefined functionality,
 signal analysis (average, interpolation, peak, etc.),
 effectful reactive systems.
Scope
Netwire's FRP framework is intended to be used for continuous applications. It replaces the traditional big main loop with its global state and event callbacks/branching by a completely declarative model. The following types of applications can benefit from using Netwire:
 artificial intelligence and bots,
 canvasbased graphics and animations,
 continuous signal synthesis (audio waves, etc.),
 games and game servers,
 scenebased user interfaces (like OpenGL and vty),
 simulations.
If you can sensibly break your application down into frames, then Netwire is for you. For other kinds of reactive applications like widgetbased UIs you may want to look into reactivebanana instead.
Get started
The documentation is contained within the package itself, but you can also read it online:
Other reading
Examples
Model and correctness
Netwire's underlying abstraction is more powerful than the original formulation of timevarying values. It allows you to implement general component systems with local state.
Starting with Netwire 5 there are two module trees Control.Wire
and FRP.Netwire
. The latter exports a subset of Netwire that closely follows the original model and provides a set of predefined FRP wires.
Signal intervals are an extension of the original model and an integral part of Netwire: A behavior is a partial function of time with the limitation that both the defined and undefined intervals must have a nonzero length. This extension makes it much easier to express switching and multicasting systems.
History
This project started in 2011 as a replacement for Yampa to provide both a nicer interface and better integration into existing frameworks. Its original purpose was to power game servers and intelligent network bots. That's the origin of the name Netwire.
However, before its first release signal intervals were added (originally under the term signal inhibition). Netwire became a completely new abstraction, so it lost its connection to Yampa.