* <ul>
 * <li>Project D: weight = 1 (no downstream dependencies)</li>
 * <li>Project B: weight = 2 (1 + max(D=1))</li>
 * <li>Project C: weight = 2 (1 + max(D=1))</li>
 * <li>Project A: weight = 3 (1 + max(B=2, C=2))</li>
 * </ul>
 * <p>Build order: A (weight=3), then B and C (weight=2, ordered by project ID), then D (weight=1)
 * <p>If projects have identical weights and IDs, the order is deterministic but may not preserve

129 129 green 0.04 5.1 0.1 32 17 6.71 1295 291 4 Queens 029100 4029100 E QN28 Jackson Heights 4102 627 309.03 4 Queens 030903 4030903 E QN28 Jackson Heights 4102 3389472 1 2014-03-25 15:03:41 2014-03-25 15:16:35 N 1 -73.89447021484375 40.748607635498047 -73.932670593261719 40.744777679443359 1 2.60 12 0 0.5 0 0 12.5 2 129 226 green 0.00 0.0 0.0 39 26 5.82 1295 291 4 Queens 029100 4029100 E QN28 Jackson Heights 4102 2063 179 4 Queens 017900 4017900 E QN31 Hunters Point-Sunnyside-West Maspeth 4109...

Die obige Anwendung ist ein minimales und einfaches Beispiel, das zeigt, wie Nachrichten verarbeitet und an mehrere WebSocket-Verbindungen gesendet werden.

Beachten Sie jedoch, dass, da alles nur im Speicher in einer einzigen Liste verwaltet wird, es nur funktioniert, während der Prozess ausgeführt wird, und nur mit einem einzelnen Prozess.

      ValueReference<K, V> previous = entry.getValueReference();
      int weight = map.weigher.weigh(key, value);
      checkState(weight >= 0, "Weights must be non-negative");

      ValueReference<K, V> valueReference =
          map.valueStrength.referenceValue(this, entry, value, weight);
      entry.setValueReference(valueReference);
      recordWrite(entry, weight, now);
      previous.notifyNewValue(value);
    }

    }

    @Override
    public int weigh(Object key, Object value) {
      return constant;
    }
  }

  static final class IntKeyWeigher implements Weigher<Integer, Object> {
    @Override
    public int weigh(Integer key, Object value) {
      return key;
    }
  }

  static final class IntValueWeigher implements Weigher<Object, Integer> {
    @Override
    public int weigh(Object key, Integer value) {

    assertThat(keySet).containsExactly(0, 1, 2, 3, 4, 5, 6, 7, 8, 9);

    // add an at-the-maximum-weight entry
    getAll(cache, asList(45));
    CacheTesting.drainRecencyQueues(cache);
    assertThat(keySet).containsExactly(0, 45);

    // add an over-the-maximum-weight entry
    getAll(cache, asList(46));
    CacheTesting.drainRecencyQueues(cache);
    assertThat(keySet).contains(0);
  }

/**
 * Calculates the weights of cache entries.
 *
 * @author Charles Fry
 * @since 11.0
 */
@GwtCompatible
public interface Weigher<K, V> {

  /**
   * Returns the weight of a cache entry. There is no unit for entry weights; rather they are simply
   * relative to each other.
   *
   * @return the weight of the entry; must be non-negative
   */
  int weigh(K key, V value);

// SrvRecord - represents a DNS service record
type SrvRecord struct {
	Host     string      `json:"host,omitempty"`
	Port     json.Number `json:"port,omitempty"`
	Priority int         `json:"priority,omitempty"`
	Weight   int         `json:"weight,omitempty"`
	Text     string      `json:"text,omitempty"`
	Mail     bool        `json:"mail,omitempty"` // Be an MX record. Priority becomes Preference.
	TTL      uint32      `json:"ttl,omitempty"`

from fastapi import FastAPI

app = FastAPI()


@app.post("/index-weights/")
async def create_index_weights(weights: dict[int, float]):

  }

  override fun windowUpdate(
    streamId: Int,
    windowSizeIncrement: Long,
  ) {
    fail("")
  }

  override fun priority(
    streamId: Int,
    streamDependency: Int,
    weight: Int,
    exclusive: Boolean,
  ) {
    fail("")
  }

  override fun pushPromise(
    streamId: Int,
    associatedStreamId: Int,
    headerBlock: List<Header>,
  ) {
    fail("")
  }