@CanIgnoreReturnValue
  private static MediaType addKnownType(MediaType mediaType) {
    knownTypes.put(mediaType, mediaType);
    return mediaType;
  }

  /*
   * The following constants are grouped by their type and ordered alphabetically by the constant
   * name within that type. The constant name should be a sensible identifier that is closest to the

Server-side Apply is a new object merge algorithm, as well as tracking of field ownership, running on the Kubernetes API server. Server-side Apply helps users and controllers manage their resources via declarative configurations. It allows them to create and/or modify their objects declaratively, simply by sending their fully specified intent. After being in beta for a couple releases, [Server-side Apply](https://kubernetes.io/docs/reference/using-api/server-side-apply/) is now generally available....

    }
  }

  /*
   * This class is used to serialize all ImmutableSet instances, except for
   * ImmutableEnumSet/ImmutableSortedSet, regardless of implementation type. It
   * captures their "logical contents" and they are reconstructed using public
   * static factories. This is necessary to ensure that the existence of a
   * particular implementation type is an implementation detail.
   */

# API) is responsible for registering ops with libtensorflow_framework.so. In
# addition to this core set of ops, user libraries which are loaded (via
# TF_LoadLibrary/tf.load_op_library) register their ops and kernels with this
# shared object directly.
#
# For example, from Python tf.load_op_library loads a custom op library (via
# dlopen() on Linux), the library finds libtensorflow_framework.so (no

	return len(poolsLayout) == 1 && len(poolsLayout[0].layout) == 1 && len(poolsLayout[0].layout[0]) == 1
}

// CreatePoolEndpoints creates a list of endpoints per pool, resolves their relevant hostnames and
// discovers those are local or remote.
func CreatePoolEndpoints(serverAddr string, poolsLayout ...poolDisksLayout) ([]Endpoints, SetupType, error) {
	var setupType SetupType

 * Caffeine's types are better than Guava's, especially for <a
 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/AsyncLoadingCache.html">their
 * deep support for asynchronous operations</a>. But if you want to migrate to Caffeine with minimal
 * code changes, you can use <a

With Kubernetes 1.15 as beta, OpenAPI schemas are also published for CRDs, as long as their schemas are structural.

These changes are reflected in the following Kubernetes enhancements:

It is an error to have multiple caches accessing the same cache directory simultaneously. Most applications should call `new OkHttpClient()` exactly once, configure it with their cache, and use that same instance everywhere. Otherwise the two cache instances will stomp on each other, corrupt the response cache, and possibly crash your program.

The effect of these operations on the synchronized-before partial order
is documented in the “Synchronization” section below.
Individual packages are responsible for providing similar documentation
for their own operations.
</p>

<h2 id="restrictions">Implementation Restrictions for Programs Containing Data Races</h2>

<p>
The preceding section gave a formal definition of data-race-free program execution.

  else:
    # On all other platforms, no longer use `-march=native` as this can result
    # in instructions that are too modern being generated. Users that want
    # maximum performance should compile TF in their environment and can pass
    # `-march=native` there.
    # See https://github.com/tensorflow/tensorflow/issues/45744 and duplicates
    default_cc_opt_flags = '-Wno-sign-compare'