context.parserRequest
                        .logger()
                        .error("Invalid fail on severity threshold '" + c
                                + "'. Supported values are 'WARN', 'WARNING' and 'ERROR'.");
            }
        });
        options.altUserSettings()
                .ifPresent(userSettings ->

   *
   * <p>This class is accessible but not supported in GWT as it references {@link
   * PermittedMetaException}.
   */
  protected final class MultiExceptionListIterator implements ListIterator<E> {
    // TODO: track seen elements when order isn't guaranteed
    // TODO: verify contents afterward
    // TODO: something shiny and new instead of Stack
    // TODO: test whether null is supported (create a Feature)
    /**

        }

        static DeadLink forMarkdownLink(File file, String link) {
            return new DeadLink(file, "Markdown-style links are not supported: $link")
        }
    }

  @CanIgnoreReturnValue // to skip a line
  @Override
  @DoNotCall("Always throws UnsupportedOperationException")
  public String readLine() {
    throw new UnsupportedOperationException("readLine is not supported");
  }

  @Override
  public void readFully(byte[] b) throws IOException {
    ByteStreams.readFully(this, b);
  }

  @Override
  public void readFully(byte[] b, int off, int len) throws IOException {

common:cuda_clang --config=cuda
common:cuda_clang --@local_config_cuda//:cuda_compiler=clang
common:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX

    return {};
  }
  const auto& fdef_lib = gdef.library();
  if (fdef_lib.gradient_size() > 0) {
    status->status = tensorflow::errors::Internal(
        "GradientDef is not supported in reading Dataset related functions: ",
        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {

   *
   * <p>The resulting map's {@code keySet()}, {@code entrySet()}, and {@code values()} views have
   * iterators that don't support {@code remove()}, but all other methods are supported by the map
   * and its views. When given a key that doesn't satisfy the predicate, the map's {@code put()} and
   * {@code putAll()} methods throw an {@link IllegalArgumentException}.
   *

   *
   * <p>The resulting map's {@code keySet()}, {@code entrySet()}, and {@code values()} views have
   * iterators that don't support {@code remove()}, but all other methods are supported by the map
   * and its views. When given a key that doesn't satisfy the predicate, the map's {@code put()} and
   * {@code putAll()} methods throw an {@link IllegalArgumentException}.
   *

		r.Method == http.MethodPut
}

// Authorization type.
//
//go:generate stringer -type=authType -trimprefix=authType $GOFILE
type authType int

// List of all supported auth types.
const (
	authTypeUnknown authType = iota
	authTypeAnonymous
	authTypePresigned
	authTypePresignedV2
	authTypePostPolicy
	authTypeStreamingSigned
	authTypeSigned
	authTypeSignedV2

    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no
    longer supported for development). Use TF SIG Build Dockerfiles in
    development to avoid installing the packages directly on your system (in
    which case remember to change the directory from `/root` to `/tensorflow`