Execution Gallery
Battle-tested strategies for common programming scenarios. Analyze and adapt.
Classic recursive implementation with memoization capability.
1protocol fibonacci(n):2 foresee n <= 1:3 yield n4 otherwise:5 yield fibonacci(n - 1) + fibonacci(n - 2)67cycle from 0 to 10 as i:8 declare(fibonacci(i))Launch multiple async tasks and await their results.
1async protocol task(id, delay):2 sleep(delay)3 declare("Task", id, "done")4 yield id * 1056async protocol run_all():7 # Start all8 p1 := task(1, 500)9 p2 := task(2, 300)10 11 # Await results12 r1 := await p113 r2 := await p214 15 declare("Results:", r1, r2)1617execute(run_all)Process large datasets efficiently with generator pipelines.
1items := span(1000)23# Lazy transformation pipeline4stage1 := (x * 2 for x through items)5stage2 := (x + 5 for x through stage1)6final := (x for x through stage2 where x % 10 == 0)78# Consume only what is needed9cycle through final as val:10 foresee val > 50:11 break12 declare(val)