Closures in Standard ML
Standard ML supports anonymous functions, which can form closures. Anonymous functions are useful when you want to define a function inline without having to name it.
To run this Standard ML program, you would typically save it to a file (e.g., closures.sml
) and then use an SML interpreter or compiler. For example, if you’re using Standard ML of New Jersey (SML/NJ):
In this Standard ML version:
We define
intSeq
as a function that returns another function. The inner function captures the referencei
in its closure.We use a reference (
ref
) to create mutable state, as Standard ML is primarily a functional language.The anonymous function returned by
intSeq
increments the reference and returns its value.In the main part of the program, we demonstrate the use of the closure by calling
nextInt
multiple times and then creating a new closure withnewInts
.We use
print
andInt.toString
to output the results, as Standard ML doesn’t have a direct equivalent to Go’sfmt.Println
.
This example demonstrates how closures work in Standard ML, capturing and maintaining state between function calls.