Number Parsing in Standard ML
In Standard ML, we can parse numbers from strings using built-in functions or by creating custom parsing functions. Here’s how to do it:
Let’s break down the key points:
In Standard ML, we use the
Real.fromString
function to parse floating-point numbers andInt.fromString
for integers.These functions return an
option
type, which isSOME value
if parsing succeeds orNONE
if it fails. We usevalOf
to extract the value, but this will raise an exception if the result isNONE
.Standard ML doesn’t have a built-in hexadecimal parser, but
Int.fromString
can handle hexadecimal strings prefixed with “0x”.There’s no separate unsigned integer type in Standard ML, so we use regular integers for all integer parsing.
We create a simple
atoi
function to mimic the convenience of Go’sAtoi
function.Error handling is done using pattern matching on the
option
type returned by parsing functions.
To run this program, save it to a file (e.g., number_parsing.sml
) and use your Standard ML interpreter or compiler. For example, with MLton:
This example demonstrates basic number parsing in Standard ML. The language doesn’t have as many built-in parsing functions as some other languages, so for more complex parsing tasks, you might need to implement custom parsing logic or use additional libraries.