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A common technique of object-oriented programming is to ensure that mutable data structures are private, nonescaping, and, where possible, fully separated, which means there is no chance that distinct pieces of code can access each other s internal state in undesirable ways. Fully separated state can even be used inside the implementation of what, to the outside world, appears to be a purely functional piece of code. For example, where necessary, you can use side effects on private data structures allocated at the start of an algorithm and then discard these data structures before returning a result; the overall result is then effectively a side-effect-free function. One example of separation from the F# library is the library s implementation of List.map, which uses mutation internally, but the writes occur on an internal, separated data structure that no other code can access. Thus, as far as callers are concerned, List.map is pure and functional. The following is a second example, where we divide a sequence of inputs into equivalence classes (the F# library function Seq.groupBy does a similar thing): open System.Collections.Generic let divideIntoEquivalenceClasses keyf seq = // The dictionary to hold the equivalence classes let dict = new Dictionary<'key,ResizeArray<'a>>() // Build the groupings seq |> Seq.iter (fun v -> let key = keyf v let ok,prev = dict.TryGetValue(key) if ok then prev.Add(v) else let prev = new ResizeArray<'a>() dict.[key] <- prev prev.Add(v)) // Return the sequence-of-sequences. Don't reveal the // internal collections: just reveal them as sequences dict |> Seq.map (fun group -> group.Key, Seq.readonly group.Value) This uses the Dictionary and ResizeArray mutable data structures internally, but these mutable data structures are not revealed externally. The inferred type of the overall function is as follows:

In both cases, the presence of unit as a return type is a sure sign that an operation performs some side effects. In contrast, operations on immutable data structures typically return a new instance of the data structure when an operation such as add is performed. For example:

source code files in the /mysys directory using a text search tool. Most of the wrapper functions have a name similar to their original function. For example, my_alloc.c implements the malloc wrapper.

Here is an example use: > divideIntoEquivalenceClasses (fun n -> n % 3) [ 0 .. 10 ];; val it : seq<int * seq<int>> = seq [(0, seq [0; 3; 6; 9]); (1, seq [1; 4; 7; 10]); (2, seq [2; 5; 8])]

Or for example:

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It is often helpful to use the weakest set of side effects necessary to achieve your programming task and at least be aware when you are using strong side effects: Weak side effects are ones that are effectively benign given the assumptions you are making about your application For example, writing to a log file is very useful and is essentially benign (if the log file cannot grow arbitrarily large and crash your machine!) Similarly, reading data from a stable, unchanging file store on a local disk is effectively treating the disk as an extension of read-only memory, so reading these files is a weak form of side effect that will not be difficult to incorporate into your programs Strong side effects have a much more corrosive effect on the correctness and operational properties of your program.

/mysys/array.c /mysys/hash.h and /mysys/hash.c /mysys/list.c /mysys/my_alloc.c /strings/*.c /mysys/string.c /mysys/my_pthread.c

As discussed in 3, immutable data structures are also called functional or persistent. The latter name is used because the original table isn t modified when adding an element. Well-crafted persistent data structures don t duplicate the actual memory used to store the data structure every time an addition is made; instead, internal nodes can be shared between the old and new data structures. Example persistent data structures in the F# library are F# lists, options, tuples, and the types Microsoft.FSharp. Collections.Map<'Key,'Value> and Microsoft.FSharp.Collections.Set<'Key>. Most data structures in the .NET libraries aren t persistent, although if you re careful, you can use them as persistent data structures by accessing them in read-only mode and copying them where necessary.

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