Non Blocking Channel Operations in Standard ML
In Standard ML, we can implement non-blocking operations using pattern matching and exceptions. While Standard ML doesn’t have built-in channels like Go, we can simulate similar behavior using refs and exceptions.
In this Standard ML implementation:
We define an
Empty
exception to simulate a channel that can’t be read from or written to.The
nonBlockingReceive
function attempts to read from a queue (simulating a channel). If the queue is empty, it returnsNONE
, otherwise it returnsSOME value
.The
nonBlockingSend
function adds a value to a queue (simulating sending to a channel).In the
main
function, we create two refs to lists to simulate channels:messages
for strings andsignals
for booleans.We implement a non-blocking receive using pattern matching on the result of
nonBlockingReceive
.For the non-blocking send, we use exception handling. If the send fails, it will raise an exception which we catch and handle.
The multi-way non-blocking select is implemented using pattern matching on tuples of
nonBlockingReceive
results.
To run this program, save it to a file (e.g., non_blocking_operations.sml
) and use your Standard ML interpreter:
This example demonstrates how to implement non-blocking operations in Standard ML, simulating behavior similar to Go’s channels and select statements.