Atomic Counters in Idris
Here’s the translation of the atomic counters example from Go to Idris:
import System.Concurrency
import Data.IORef
main : IO ()
main = do
-- We'll use an IORef to represent our counter
ops <- newIORef 0
-- We'll use a MVar as a simple way to wait for all threads to finish
done <- newEmptyMVar
-- We'll start 50 threads that each increment the counter exactly 1000 times
let numThreads = 50
let incrementsPerThread = 1000
-- Start the threads
for_ [1..numThreads] $ \_ -> do
fork $ do
for_ [1..incrementsPerThread] $ \_ -> do
modifyIORef' ops (+1)
putMVar done ()
-- Wait for all threads to finish
for_ [1..numThreads] $ \_ -> takeMVar done
-- Read the final value of the counter
finalOps <- readIORef ops
putStrLn $ "ops: " ++ show finalOps
This Idris code demonstrates a similar concept to the Go example of atomic counters, but with some differences due to the language’s features and idioms:
We use
IORef
instead ofatomic.Uint64
.IORef
in Idris is not inherently atomic, but in this single-threaded runtime, it serves a similar purpose.Instead of
sync.WaitGroup
, we use anMVar
as a simple synchronization mechanism. We create an emptyMVar
for each thread and have the main thread wait on all of them.We use
fork
to create new threads, which is similar to goroutines in Go.The
modifyIORef'
function is used to increment the counter. This is not atomic in the same way as Go’s atomic operations, but it serves a similar purpose in this context.We use
for_
from the Idris standard library to create loops, both for creating threads and for the increments within each thread.At the end, we read the final value of the counter using
readIORef
and print it.
To run this program, you would save it in a file with a .idr
extension, for example AtomicCounters.idr
, and then use the Idris compiler:
$ idris AtomicCounters.idr -o atomic-counters
$ ./atomic-counters
ops: 50000
Note that due to Idris’s single-threaded runtime, this program doesn’t actually run concurrently. In a real-world scenario with true concurrency, you would need to use more sophisticated synchronization mechanisms to ensure thread safety.