)

# Initialize the TensorFlow repository and all dependencies.
#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

...
BUILD SUCCESSFUL in 1m 30s
63 actionable tasks: 61 executed, 2 up-to-date

```

   * a duration in order to call a legacy API which requires a {@code long, TimeUnit} pair.
   */
  // We use this method only for cases in which we need to decompose to primitives.
  @SuppressWarnings({"GoodTime-ApiWithNumericTimeUnit", "GoodTime-DecomposeToPrimitive"})
  @IgnoreJRERequirement
  static long toNanosSaturated(Duration duration) {

abstract class GwtFuturesCatchingSpecialization {
  /*
   * In the GWT versions of the methods (below), every exceptionType parameter is required to be
   * Class<Throwable>. To handle only certain kinds of exceptions under GWT, you'll need to write
   * your own instanceof tests.
   */

  public static <V extends @Nullable Object> ListenableFuture<V> catching(
      ListenableFuture<? extends V> input,
      Class<Throwable> exceptionType,

	if _, err := objAPI.GetBucketInfo(ctx, bucket, BucketOptions{}); err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}

	// Error out if Content-Length is missing.
	// PutBucketPolicy always needs Content-Length.
	if r.ContentLength <= 0 {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrMissingContentLength), r.URL)
		return
	}

	// Error out if Content-Length is beyond allowed size.

  A more thorough check will be performed on your pull request automatically.
- [ ] You have run the [Core IT][core-its] successfully.

If your pull request is about ~20 lines of code you don't need to sign an
[Individual Contributor License Agreement](https://www.apache.org/licenses/icla.pdf) if you are unsure
please ask on the developers list.

To make clear that you license your contribution under

        setLayout(localRepository.getLayout());
    }

    @Override
    public Artifact find(Artifact artifact) {
        File artifactFile = new File(localRepository.getBasedir(), pathOf(artifact));

        // We need to set the file here or the resolver will fail with an NPE, not fully equipped to deal
        // with multiple local repository implementations yet.
        artifact.setFile(artifactFile);

        return artifact;
    }

		)

		if r.Source.Snowball.Disable != nil && !*r.Source.Snowball.Disable && r.Source.Type.isMinio() && r.Target.Type.isMinio() {
			go func() {
				// Snowball currently needs the high level minio-go Client, not the Core one
				cl, err := minio.New(u.Host, &minio.Options{
					Creds:        credentials.NewStaticV4(cred.AccessKey, cred.SecretKey, cred.SessionToken),

 * entire "chunk" (of implementation-dependent length) is ready to be hashed.
 *
 * @author Kevin Bourrillion
 * @author Dimitris Andreou
 */
// TODO(kevinb): this class still needs some design-and-document-for-inheritance love
abstract class AbstractStreamingHasher extends AbstractHasher {
  /** Buffer via which we pass data to the hash algorithm (the implementor) */
  private final ByteBuffer buffer;

    export TFCI_INSTALLER_WHL_PROJECT_NAME="$TFCI_INSTALLER_WHL_NIGHTLY_PROJECT_NAME"
  fi
  export project_name="$TFCI_INSTALLER_WHL_PROJECT_NAME"
fi

# Mac builds have some specific setup needs. See setup_macos.sh for details
if [[ "${OSTYPE}" =~ darwin* ]]; then
  source ./ci/official/utilities/setup_macos.sh
fi

# Create and expand to the full path of TFCI_OUTPUT_DIR