In Haskell, one situation where you would use the ‘seq‘ function is to enforce the order of evaluation between two expressions, typically when dealing with lazy evaluation and performance issues.
Haskell has non-strict semantics, which means expressions are evaluated on an as-needed basis. This feature, called lazy evaluation, can lead to some unexpected results when we have side effect-inducing statements (e.g., in the IO monad), or performance issues when data is only conditionally needed.
The ‘seq‘ function is used to force the evaluation of an expression to weak head normal form (WHNF) before evaluating another expression. It has the type:
seq :: a -> b -> b
The ‘seq‘ function ensures that its first argument is evaluated to WHNF when its second argument is evaluated. In other words, it enforces a certain order of evaluation and can be used as a performance optimization when necessary.
Consider the following example: you want to compute the sum of a list of integers, using the following function ‘compute‘:
compute :: [Int] -> Bool -> Int
compute xs flag = if flag then sum xs else 42
Suppose you have a very large list that you want to compute the sum of, but only under certain conditions. Using ‘compute‘ directly might cause performance issues, because the ‘flag‘ will determine whether you need the sum or not, but Haskell’s lazy evaluation will not compute the list sum until it is actually demanded in WHNF.
In this case, you can use ‘seq‘ to force the evaluation of the list sum:
computeWithSeq :: [Int] -> Bool -> Int
computeWithSeq xs flag = s `seq` (if flag then s else 42)
where
s = sum xs
Now, if ‘flag‘ is ‘True‘, the sum of the list will be evaluated first, and then the condition in the ‘if‘ statement will be evaluated. This ensures that space usage is bounded and performance is predictable.
Although ‘seq‘ has some use cases, it is generally recommended to avoid it unless absolutely necessary, since it can be easily misused and lead to poorly-performing code. Instead, you should rely on Haskell’s lazy evaluation as much as possible and only force evaluation when it is crucial for performance or when working with effectful computations.