Title here
Summary here
Timeouts are important for programs that connect to external resources or that otherwise need to bound execution time. Implementing timeouts in Idris requires careful handling of concurrent operations and time-based checks.
import Control.Concurrent
import Data.IORef
import System.Timeout
main : IO ()
main = do
-- For our example, suppose we're executing an external
-- call that returns its result after 2 seconds.
-- We'll use an IORef to simulate this delayed result.
result1 <- newIORef ""
forkIO $ do
threadDelay 2000000 -- 2 seconds
writeIORef result1 "result 1"
-- Here we implement a timeout using System.Timeout.
-- If the operation takes more than 1 second, it will timeout.
maybeResult <- timeout 1000000 $ do -- 1 second timeout
threadDelay 500000 -- Wait for 0.5 seconds
readIORef result1
case maybeResult of
Just res -> putStrLn res
Nothing -> putStrLn "timeout 1"
-- If we allow a longer timeout of 3 seconds, then the operation
-- will succeed and we'll print the result.
result2 <- newIORef ""
forkIO $ do
threadDelay 2000000 -- 2 seconds
writeIORef result2 "result 2"
maybeResult2 <- timeout 3000000 $ do -- 3 second timeout
threadDelay 2500000 -- Wait for 2.5 seconds
readIORef result2
case maybeResult2 of
Just res -> putStrLn res
Nothing -> putStrLn "timeout 2"
In this Idris implementation:
IORef
to simulate delayed results, as Idris doesn’t have built-in channels like Go.forkIO
is used to create concurrent operations, similar to goroutines in Go.threadDelay
is used to simulate time-consuming operations.timeout
function from System.Timeout
is used to implement timeouts. It takes a duration in microseconds and an IO action, and returns Maybe a
where Nothing
indicates a timeout.timeout
to handle both successful and timeout cases.Running this program would show the first operation timing out and the second succeeding:
timeout 1
result 2
Note that Idris’s concurrency model is different from Go’s, and this example is a simplified approximation of the original Go code’s behavior. In practice, more robust error handling and resource management would be necessary for production code.