context.logger.error(
                MessageUtils.builder().a("  ").strong(resumeBuildHint).toString());
    }

    /**
     * A helper method to determine the value to resume the build with {@code -rf} taking into account the edge case
     *   where multiple modules in the reactor have the same artifactId.
     * <p>
     * {@code -rf :artifactId} will pick up the first module which matches, but when multiple modules in the reactor

      List<Double> xValues, List<Double> yValues, int partitionSize) {
    checkArgument(xValues.size() == yValues.size());
    checkArgument(partitionSize > 0);
    PairedStatsAccumulator accumulator = new PairedStatsAccumulator();
    List<List<Double>> xPartitions = Lists.partition(xValues, partitionSize);
    List<List<Double>> yPartitions = Lists.partition(yValues, partitionSize);
    for (int index = 0; index < xPartitions.size(); index++) {

// Note that returning an error here will cause the Metrics handler to return a
// 500 Internal Server Error.
type MetricsLoaderFn func(context.Context, MetricValues, *metricsCache) error

// JoinLoaders - joins multiple loaders into a single loader. The returned
// loader will call each of the given loaders in order. If any of the loaders
// return an error, the returned loader will return that error.

   *     zero instead.
   */
  @CanIgnoreReturnValue
  int setCount(@ParametricNullness E element, int count);

  /**
   * Conditionally sets the count of an element to a new value, as described in {@link
   * #setCount(Object, int)}, provided that the element has the expected current count. If the
   * current count is not {@code oldCount}, no change is made.
   *

 * @author Jared Levy
 * @since 2.0
 */
@GwtCompatible
public abstract class ImmutableBiMap<K, V> extends ImmutableMap<K, V> implements BiMap<K, V> {

  /**
   * Returns a {@link Collector} that accumulates elements into an {@code ImmutableBiMap} whose keys
   * and values are the result of applying the provided mapping functions to the input elements.
   * Entries appear in the result {@code ImmutableBiMap} in encounter order.
   *

      }
    };
  }

  // Implementations for encoding/decoding

  abstract int maxEncodedSize(int bytes);

  abstract void encodeTo(Appendable target, byte[] bytes, int off, int len) throws IOException;

  abstract int maxDecodedSize(int chars);

  abstract int decodeTo(byte[] target, CharSequence chars) throws DecodingException;

  CharSequence trimTrailingPadding(CharSequence chars) {

 *   at okhttp3.Connection.connect(Connection.java)
 *   at okhttp3.Connection.connectAndSetOwner(Connection.java)
 * ```
 *
 * Follow up by pasting the public key hashes from the exception into the
 * certificate pinner's configuration:
 *
 * ```java
 * CertificatePinner certificatePinner = new CertificatePinner.Builder()
 *     .add("publicobject.com", "sha256/afwiKY3RxoMmLkuRW1l7QsPZTJPwDS2pdDROQjXw8ig=")

    assertThat(e.getStackTrace()[index - 1].getMethodName()).isEqualTo("get");
  }

  private static int findStackFrame(ExecutionException e, String clazz, String method) {
    StackTraceElement[] elements = e.getStackTrace();
    for (int i = 0; i < elements.length; i++) {
      StackTraceElement element = elements[i];
      if (element.getClassName().equals(clazz) && element.getMethodName().equals(method)) {

    loggerName: String,
    logLevel: Int,
    message: String,
    t: Throwable? = null,
  ) {
    val tag = loggerTag(loggerName)

    if (Log.isLoggable(tag, logLevel)) {
      var logMessage = message
      if (t != null) logMessage = logMessage + '\n'.toString() + Log.getStackTraceString(t)

      // Split by line, then ensure each line can fit into Log's maximum length.
      var i = 0

CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow...