In Standard ML, error handling is typically done using the option type or by raising exceptions. We’ll use a combination of both to demonstrate error handling concepts similar to those in the original example.
In Standard ML, we use a combination of the option type and exceptions to handle errors:
The f function returns an option type, where NONE represents an error and SOME represents success.
We define custom exceptions CantWorkWith42, OutOfTea, and PowerFailure to represent specific error conditions.
The makeTea function raises exceptions instead of returning error values.
In the main function, we use pattern matching to handle the option return type of f, and we use exception handling to catch and process errors from makeTea.
The List.app function is used to iterate over lists, similar to the for loops in the original example.
To run this program, save it to a file (e.g., errors.sml) and use your Standard ML interpreter. For example, with MLton:
This example demonstrates error handling in Standard ML using both the option type and exceptions, which are idiomatic ways to handle errors in this language.