for i := range src {  // Loop over values received from 'src'.
		if i%prime != 0 {
			dst <- i  // Send 'i' to channel 'dst'.
		}
	}
}

// The prime sieve: Daisy-chain filter processes together.
func sieve() {
	ch := make(chan int)  // Create a new channel.
	go generate(ch)       // Start generate() as a subprocess.
	for {
		prime := <-ch
		fmt.Print(prime, "\n")

LT",lastWeek:function(){switch(this.day()){case 0:case 3:return"[pro\u0161lu] dddd [u] LT";case 6:return"[pro\u0161le] [subote] [u] LT";case 1:case 2:case 4:case 5:return"[pro\u0161li] dddd [u] LT"}},sameElse:"L"},relativeTime:{future:"za %s",past:"prije %s",s:"par sekundi",ss:Hs,m:Hs,mm:Hs,h:Hs,hh:Hs,d:"dan",dd:Hs,M:"mjesec",MM:Hs,y:"godinu",yy:Hs},dayOfMonthOrdinalParse:/\d{1,2}\./,ordinal:"%d.",week:{dow:1,doy:7}}),M.defineLocale("ca",{months:{standalone:"gener_febrer_mar\xe7_abril_maig_juny_ju...

from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


@app.get("/items/")
async def read_items() -> list[Item]:
    return [
        Item(name="Portal Gun", price=42.0),
        Item(name="Plumbus", price=32.0),
    ]
```

FastAPI will use the return type annotation to perform:

* Data validation