* @author ******@****.*** (Geoff Pike)
 */
final class Fingerprint2011 extends AbstractNonStreamingHashFunction {
  static final HashFunction FINGERPRINT_2011 = new Fingerprint2011();

  // Some primes between 2^63 and 2^64 for various uses.
  private static final long K0 = 0xa5b85c5e198ed849L;
  private static final long K1 = 0x8d58ac26afe12e47L;
  private static final long K2 = 0xc47b6e9e3a970ed3L;

 * @author Kyle Maddison
 * @author Geoff Pike
 */
final class FarmHashFingerprint64 extends AbstractNonStreamingHashFunction {
  static final HashFunction FARMHASH_FINGERPRINT_64 = new FarmHashFingerprint64();

  // Some primes between 2^63 and 2^64 for various uses.
  private static final long K0 = 0xc3a5c85c97cb3127L;
  private static final long K1 = 0xb492b66fbe98f273L;
  private static final long K2 = 0x9ae16a3b2f90404fL;

  @Override

   */
  @GwtIncompatible // TODO
  public static boolean isPrime(long n) {
    if (n < 2) {
      checkNonNegative("n", n);
      return false;
    }
    if (n < 66) {
      // Encode all primes less than 66 into mask without 0 and 1.
      long mask =
          (1L << (2 - 2))
              | (1L << (3 - 2))
              | (1L << (5 - 2))
              | (1L << (7 - 2))

return false } iterations-- if iterations == 0 { return true } } } // primes are the first prime numbers (except 2), such that the product of any // three primes fits in a uint32. // // More primes cause fewer Miller-Rabin tests of composites (nothing can help // with the final test on the actual prime) but have diminishing returns: these // 255 primes catch 84.9% of composites, the next 255 would catch 1.5% more. // Adding primes can still be marginally useful since they only compete with the // (much...

millerRabinSetup(w) if err != nil { // w is zero, one, or even. return false } primes, err := bigmod.NewNat().SetBytes(productOfPrimes, mr.w) // If w is too small for productOfPrimes, key generation is // going to be fast enough anyway. if err == nil { _, hasInverse := primes.InverseVarTime(primes, mr.w) if !hasInverse { // productOfPrimes doesn't have an inverse mod w, // so w is divisible by at least one of the primes. return false } } // iterations is the number of Miller-Rabin rounds, each with...

	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")

#### Dict { #dict }

Para definir un `dict`, pasas 2 parámetros de tipo, separados por comas.

El primer parámetro de tipo es para las claves del `dict`.

El segundo parámetro de tipo es para los valores del `dict`:

{* ../../docs_src/python_types/tutorial008_py310.py hl[1] *}

Esto significa:

* La variable `prices` es un `dict`:
    * Las claves de este `dict` son del tipo `str` (digamos, el nombre de cada ítem).

def process_items(prices: dict[str, float]):
    for item_name, item_price in prices.items():
        print(item_name)

    }

    @Override
    public int hashCode() {
        final int prime = 31;
        int result = 1;
        result = prime * result + ((value1 == null) ? 0 : value1.hashCode());
        result = prime * result + ((value2 == null) ? 0 : value2.hashCode());
        result = prime * result + ((value3 == null) ? 0 : value3.hashCode());
        return result;
    }

    @Override

        final int prime = 31;
        int result = 1;
        result = prime * result + ((value1 == null) ? 0 : value1.hashCode());
        result = prime * result + ((value2 == null) ? 0 : value2.hashCode());
        result = prime * result + ((value3 == null) ? 0 : value3.hashCode());
        result = prime * result + ((value4 == null) ? 0 : value4.hashCode());