# _/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/_/
# Fess basic configuration for All Environments
# _/_/_/_/_/_/_/_/_/_/
# ========================================================================================
#                                                                                    Core
#                                                                                   ======

# The title of the domain for logging and display.
domain.title = Fess

        E extends MapMakerInternalMap.InternalEntry<K, V, E>,
        S extends MapMakerInternalMap.Segment<K, V, E, S>>
    extends AbstractMap<K, V> implements ConcurrentMap<K, V>, Serializable {

  /*
   * The basic strategy is to subdivide the table among Segments, each of which itself is a
   * concurrently readable hash table. The map supports non-blocking reads and concurrent writes
   * across different segments.
   *

  TF_Operation* neg = TF_GraphOperationByName(graph, "imported/neg");
  ASSERT_TRUE(scalar != nullptr);
  ASSERT_TRUE(feed != nullptr);
  ASSERT_TRUE(neg != nullptr);

  // Test basic structure of the imported graph.
  EXPECT_EQ(0, TF_OperationNumInputs(scalar));
  EXPECT_EQ(0, TF_OperationNumInputs(feed));
  ASSERT_EQ(1, TF_OperationNumInputs(neg));
  TF_Output neg_input = TF_OperationInput({neg, 0});

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})
@GwtCompatible
@NullUnmarked // TODO(cpovirk): Annotate for nullness.
final class LocalCache<K, V> extends AbstractMap<K, V> implements ConcurrentMap<K, V> {

  /*
   * The basic strategy is to subdivide the table among Segments, each of which itself is a
   * concurrently readable hash table. The map supports non-blocking reads and concurrent writes
   * across different segments.
   *

* Added 'kubectl top' command showing the resource usage metrics. ([#28844](https://github.com/kubernetes/kubernetes/pull/28844), [@mksalawa](https://github.com/mksalawa))
* Add basic audit logging ([#27087](https://github.com/kubernetes/kubernetes/pull/27087), [@soltysh](https://github.com/soltysh))

    *   Extend `tf.strings.split` to support inputs with any rank.
    *   Added `tf.random.binomial`.
    *   Added `key` and `skip` methods to `random.experimental.Generator`.
    *   Extend `tf.function` with basic support for CompositeTensors arguments
        (such as `SparseTensor` and `RaggedTensor`).
    *   `parallel_for.pfor`: add converters for Softmax, LogSoftmax, IsNaN, All,
        Any, and MatrixSetDiag.

PR](https://github.com/kubernetes/community/pull/742)) ([kubernetes/features#290](https://github.com/kubernetes/enhancements/issues/290))

* [alpha] Integration with [containerd] (https://github.com/containerd/containerd) , which supports basic pod lifecycle and image management. ([docs](https://github.com/kubernetes-incubator/cri-containerd/blob/master/README.md) and [release notes](https://github.com/kubernetes-incubator/cri-containerd/releases/tag/v0.1.0)) ([kubernetes/features#286](h...

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