//
// Questions left to address:
// * Might at some point need a way for callers to provide their own Env.
// * Maybe add TF_TensorShape that encapsulates dimension info.
//
// Design decisions made:
// * Backing store for tensor memory has an associated deallocation
//   function.  This deallocation function will point to client code
//   for tensors populated by the client.  So the client can do things
//   like shadowing a numpy array.

- Scheduler skips NodeAffinity Score plugin when NodeAffinity Score plugin has nothing to do with a Pod.

        makeMap(createMapMaker().concurrencyLevel(concurrencyLevel));
    assertThat(map.segments).hasLength(segmentCount);
  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);

        makeMap(createMapMaker().concurrencyLevel(concurrencyLevel));
    assertThat(map.segments).hasLength(segmentCount);
  }

  public void testSetInitialCapacity() {
    // share capacity over each segment, then round up to the nearest power of two

    checkInitialCapacity(1, 0, 1);
    checkInitialCapacity(1, 1, 1);
    checkInitialCapacity(1, 2, 2);
    checkInitialCapacity(1, 3, 4);

### Major Features and Improvements

*   Added F-Score metrics `tf.keras.metrics.FBetaScore`, `tf.keras.metrics.F1Score`, and `tf.keras.metrics.R2Score`.
*   Added activation function `tf.keras.activations.mish`.

// getRemoteInstanceTransport contains a roundtripper for external (not peers) servers
var remoteInstanceTransport atomic.Value

func setRemoteInstanceTransport(tr http.RoundTripper) {
	remoteInstanceTransport.Store(tr)
}

func getRemoteInstanceTransport() http.RoundTripper {
	rt, ok := remoteInstanceTransport.Load().(http.RoundTripper)
	if ok {
		return rt
	}
	return nil
}

* * T1 = Z1*Z1 * T2 = Z2*Z2 * U1 = X1*T2 * H = X2*T1 * H = H-U1 * Z3 = Z1*Z2 * Z3 = Z3*H << store-out Z3 result reg.. could override Z1, if slices have same backing array * * S1 = Z2*T2 * S1 = Y1*S1 * R = Z1*T1 * R = Y2*R * R = R-S1 * * T1 = H*H * T2 = H*T1 * U1 = U1*T1 * * X3 = R*R * X3 = X3-T2 * T1 = 2*U1 * X3 = X3-T1 << store-out X3 result reg * * T2 = S1*T2 * Y3 = U1-X3 * Y3 = R*Y3 * Y3 = Y3-T2 << store-out Y3 result reg // X=Z1; Y=Z1; MUL; T- // T1 = Z1*Z1 // X- ; Y=T ; MUL; R=T // R = Z1*T1...

      try {
        return input.readUnsignedByte();
      } catch (IOException e) {
        throw new IllegalStateException(e);
      }
    }

    @Override
    public short readShort() {
      try {
        return input.readShort();
      } catch (IOException e) {
        throw new IllegalStateException(e);
      }
    }

    @Override
    public int readUnsignedShort() {

   */

  private transient Map<K, Collection<V>> map;
  private transient int totalSize;

  /**
   * Creates a new multimap that uses the provided map.
   *
   * @param map place to store the mapping from each key to its corresponding values
   * @throws IllegalArgumentException if {@code map} is not empty
   */
  protected AbstractMapBasedMultimap(Map<K, Collection<V>> map) {
    checkArgument(map.isEmpty());

        final boolean result = systemHelper.calibrateCpuLoad(0L);
        assertTrue(result);
    }

    @Test
    public void test_getSystemCpuPercent() {
        final short cpuPercent = systemHelper.getSystemCpuPercent();
        // CPU percent can be -1 if not available or other negative values in test environment
        assertTrue(cpuPercent >= -1);
        assertTrue(cpuPercent <= 100);
    }