// but work beyond that must take at least one second
      assertTrue(afterBurst >= 1000);
    }
  }

  /**
   * This neat test shows that no matter what weights we use in our requests, if we push X amount of
   * permits in a cool state, where X = rate * timeToCoolDown, and we have specified a
   * timeToWarmUp() period, it will cost as the prescribed amount of time. E.g., calling

      // but work beyond that must take at least one second
      assertTrue(afterBurst >= 1000);
    }
  }

  /**
   * This neat test shows that no matter what weights we use in our requests, if we push X amount of
   * permits in a cool state, where X = rate * timeToCoolDown, and we have specified a
   * timeToWarmUp() period, it will cost as the prescribed amount of time. E.g., calling

        `tf.keras.mixed_precision.experimental.LossScaleOptimizer`, the weights
        of the `DynanmicLossScale` are copied into the `LossScaleOptimizer`
        instead of being reused. This means modifying the weights of the
        `DynamicLossScale` will no longer affect the weights of the
        LossScaleOptimizer, and vice versa.

    checkArgument(maximumSize >= 0, "maximum size must not be negative");
    this.maximumSize = maximumSize;
    return this;
  }

  /**
   * Specifies the maximum weight of entries the cache may contain. Weight is determined using the
   * {@link Weigher} specified with {@link #weigher}, and use of this method requires a

    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);
  }

  /** Returns a {@link Weigher} that uses the integer key as the weight. */
  static Weigher<Integer, Object> intKeyWeigher() {
    return new IntKeyWeigher();
  }

  /** Returns a {@link Weigher} that uses the integer value as the weight. */
  static Weigher<Object, Integer> intValueWeigher() {
    return new IntValueWeigher();
  }

  static final class ConstantWeigher implements Weigher<Object, Object> {
    private final int constant;

  - [beta] `Federated Replica Sets` create and maintain matching
    `Replica Set`s in some or all clusters in a federation, with the
    desired replica count distributed equally or according to
    specified per-cluster weights.
	([docs](http://kubernetes.io/docs/user-guide/federation/federated-replicasets.md))
	([kubernetes/features#46](https://github.com/kubernetes/enhancements/issues/46))

    font-weight: 700;
    font-style: normal
}

body, input {
    font-family: cash-market,"Helvetica Neue",helvetica,sans-serif;
}

.md-typeset h1, .md-typeset h2, .md-typeset h3, .md-typeset h4 {
    font-family: cash-market,"Helvetica Neue",helvetica,sans-serif;
    line-height: normal;
    font-weight: bold;
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button.dl {
  font-weight: 300;
  font-size: 25px;

- Updates the `requestedToCapacityRatioArguments` to add resources parameter that allows the users to specify the resource name along with weights for each resource to score nodes based on the request to capacity ratio. ([#77688](https://github.com/kubernetes/kubernetes/pull/77688), [@sudeshsh](https://github.com/sudeshsh))

- Introduce `v1beta3` API for scheduler. This version 
  - increases the weight of user specifiable priorities.
  The weights of following priority plugins are increased
    - `TaintTolerations` to 3 - as leveraging node tainting to group nodes in the cluster is becoming a widely-adopted practice
    - `NodeAffinity` to 2