Timeouts in Standard ML
In Standard ML, implementing timeouts is not as straightforward as in some other languages, but we can achieve similar functionality using threads and timers. Here’s an example of how we might implement a timeout mechanism:
In this Standard ML implementation:
We define a
Timeout
structure that contains awithTimeout
function. This function takes a timeout duration and a function to execute.Inside
withTimeout
, we create a timer and spawn a new thread to run the given function.We use
Timer.waitRealTimer
to wait for either the timer to expire or the function to complete.In the
main
function, we define alongRunningTask
that simulates a task taking 2 seconds to complete.We then use our
withTimeout
function to run this task with different timeouts:- First with a 1-second timeout, which should result in a timeout.
- Then with a 3-second timeout, which should allow the task to complete.
We use exception handling to catch and report timeouts.
Running this program should produce output similar to:
This demonstrates that the first operation times out, while the second succeeds.
Note that Standard ML’s concurrency model is different from some other languages. It uses lightweight threads and does not have built-in channels or select statements. This implementation provides a similar functionality to the original example, adapted to Standard ML’s capabilities.