}
      } finally {
        monitor.leave();
      }
    }

    void addListener(Listener listener, Executor executor) {
      listeners.addListener(listener, executor);
    }

    void awaitHealthy() {
      monitor.enterWhenUninterruptibly(awaitHealthGuard);
      try {
        checkHealthy();
      } finally {
        monitor.leave();
      }
    }

    Builder(int expectedKeys) {
      if (expectedKeys > 0) {
        builderMap = Platform.preservesInsertionOrderOnPutsMapWithExpectedSize(expectedKeys);
      }
      // otherwise, leave it null to be constructed lazily
    }

    Map<K, ImmutableCollection.Builder<V>> ensureBuilderMapNonNull() {
      Map<K, ImmutableCollection.Builder<V>> result = builderMap;
      if (result == null) {

  int internalArrayEnd() {
    throw new UnsupportedOperationException();
  }

  @Override
  public abstract boolean contains(@Nullable Object object);

  /**
   * Guaranteed to throw an exception and leave the collection unmodified.
   *
   * @throws UnsupportedOperationException always
   * @deprecated Unsupported operation.
   */
  @CanIgnoreReturnValue
  @Deprecated
  @Override

labels: enhancement
assignees: ''

---

Start by telling us what problem you’re trying to solve. Often a solution already exists!

   *
   * @throws UnsupportedOperationException always
   * @deprecated Unsupported operation.
   */
  @Deprecated
  @Override
  @DoNotCall("Always throws UnsupportedOperationException")
  public void remove(Range<C> range) {
    throw new UnsupportedOperationException();
  }

  /**

  }

  @Override
  public boolean containsValue(@Nullable Object value) {
    return values().contains(value);
  }

  /**
   * Guaranteed to throw an exception and leave the table unmodified.
   *
   * @throws UnsupportedOperationException always
   * @deprecated Unsupported operation.
   */
  @Deprecated
  @Override
  @DoNotCall("Always throws UnsupportedOperationException")

Neste caso, você aceitaria qualquer `dict`, desde que tenha chaves` int` com valores `float`:

{* ../../docs_src/body_nested_models/tutorial009.py hl[9] *}

/// tip | Dica

Leve em condideração que o JSON só suporta `str` como chaves.

Mas o Pydantic tem conversão automática de dados.

 *  * All other characters are copied without transformation.
 *
 * @param alreadyEncoded true to leave '%' as-is; false to convert it to '%25'.
 * @param strict true to encode '%' if it is not the prefix of a valid percent encoding.
 * @param plusIsSpace true to encode '+' as "%2B" if it is not already encoded.
 * @param unicodeAllowed true to leave non-ASCII codepoint unencoded.
 * @param charset which charset to use, null equals UTF-8.
 */

		for _, g := range leaked {
			t.Errorf("Leaked goroutine: %v", g)
		}
		return
	}
}

// DetectTestLeak -  snapshots the currently running goroutines and returns a
// function to be run at the end of tests to see whether any
// goroutines leaked.
// Usage: `defer DetectTestLeak(t)()` in beginning line of benchmarks or unit tests.

También puedes declarar un cuerpo como un `dict` con claves de algún tipo y valores de algún otro tipo.

De esta manera, no tienes que saber de antemano cuáles son los nombres válidos de campo/atributo (como sería el caso con modelos Pydantic).

Esto sería útil si deseas recibir claves que aún no conoces.

---

Otro caso útil es cuando deseas tener claves de otro tipo (por ejemplo, `int`).