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Whether a particular side effect is stronger or weaker depends very much on your application and whether the consequences of the side effect are sufficiently isolated and separated from other entities. Strong side effects can and should be used freely in the outer shell of an application or when you re scripting with F# Interactive; otherwise, not much can be achieved. When you re writing larger pieces of code, you should write your application and libraries in such a way that most of your code either doesn t use strong side effects or at least makes it obvious when these side effects are being used. Threads and concurrency are commonly used to mediate problems associated with strong side effects; 14 covers these issues in more depth.

The first technique applies when you make a definition such as empties shown earlier but when you really meant to create one value. Recall that this definition was problematic because it s not clear what type of array is being created: let empties = Array.create 100 [] If you really meant to create one value with a specific type, then simply use an explicit type annotation: let empties : int list [] = Array.create 100 [] The value is then not generic, and the value restriction doesn t apply.

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It s generally thought to be bad style to combine delayed computations (that is, laziness) and side effects. This isn t entirely true; for example, it s reasonable to set up a read from a file system as a lazy computation using sequences. However, it s relatively easy to make mistakes in this sort of programming. For example, consider the following code: open System.IO let reader1, reader2 = let reader = new StreamReader(File.OpenRead("test.txt")) let firstReader() = reader.ReadLine() let secondReader() = reader.ReadLine() // Note: we close the stream reader here! // But we are returning function values which use the reader // This is very bad! reader.Close() firstReader, secondReader // Note: stream reader is now closed! The next line will fail! let firstLine = reader1() let secondLine = reader2() firstLine, secondLine This code is wrong because the StreamReader object reader is used after the point indicated by the comment. The returned function values are then called, and they try to read from the captured variable reader. Function values are just one example of delayed computations: other examples are lazy values, sequences, and any objects that perform computations on demand. Be careful not to build delayed

If your data can change frequently, you may want to snapshot the data at some point and build your tests using the same set of data each time While this will ensure you are testing the performance using real data, it may not test performance degradation over time with respect to growth Lastly, when interpreting the results of your benchmarks and managing your expectations, be sure to set realistic goals If you are trying to improve the performance of the system under certain conditions, make sure you have a firm grasp of the known consequences before you set your goals For example, if you are examining the effect of switching the network interface from a gigabit connection to an interface that performs network communication 100 times faster, your server will not perform its data transfer 100 times faster.

The next technique applies when you are defining generic functions. In this case, make sure you define these with explicit arguments. For example, take a look at the following definition of a function value: let mapFirst = List.map fst You might expect this to be a generic function with type ('a * 'b) list -> 'a list. However, this is not quite what happens: type variables are automatically generalized at true syntactic function definitions, that is, function definitions with explicit arguments. The function mapFirst has implicit arguments. Fortunately, it is easy to work around this simply by making the arguments explicit: let mapFirst inp = List.map fst inp This function now has the following type:

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