static class StrongKeyDummyValueEntry<K>
      extends AbstractStrongKeyEntry<K, Dummy, StrongKeyDummyValueEntry<K>>
      implements StrongValueEntry<K, Dummy, StrongKeyDummyValueEntry<K>> {

    private StrongKeyDummyValueEntry(K key, int hash) {
      super(key, hash);
    }

    @Override
    public final Dummy getValue() {
      return Dummy.VALUE;
    }

  static class StrongKeyDummyValueEntry<K>
      extends AbstractStrongKeyEntry<K, Dummy, StrongKeyDummyValueEntry<K>>
      implements StrongValueEntry<K, Dummy, StrongKeyDummyValueEntry<K>> {

    private StrongKeyDummyValueEntry(K key, int hash) {
      super(key, hash);
    }

    @Override
    public final Dummy getValue() {
      return Dummy.VALUE;
    }

  }

  /**
   * Not supported. <b>You are attempting to create a map that may contain a non-{@code Comparable}
   * key.</b> Proper calls will resolve to the version in {@code ImmutableSortedMap}, not this dummy
   * version.
   *
   * @throws UnsupportedOperationException always
   * @deprecated <b>Pass a key of type {@code Comparable} to use {@link
   *     ImmutableSortedMap#of(Comparable, Object)}.</b>
   */

  }

  /**
   * Not supported. <b>You are attempting to create a map that may contain a non-{@code Comparable}
   * key.</b> Proper calls will resolve to the version in {@code ImmutableSortedMap}, not this dummy
   * version.
   *
   * @throws UnsupportedOperationException always
   * @deprecated <b>Pass a key of type {@code Comparable} to use {@link
   *     ImmutableSortedMap#of(Comparable, Object)}.</b>
   */

      ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TFE_TensorHandle* dummy = nullptr;
      TFE_Execute(add_op_dummy, &dummy, &num_retvals, status);
      ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      TFE_DeleteTensorHandle(dummy);
      TFE_DeleteOp(add_op_dummy);
    }
  }
  TFE_TensorHandle* retval = nullptr;

)

# To avoid duplication, check that the C++ or python library does not depend on
# the stream executor cuda plugins. Targets that want to use cuda APIs should
# instead depend on the dummy plugins in @local_tsl//tsl/platform/default/build_config
# and use header only targets.
# TODO(ddunleavy): This seems completely broken. :tensorflow_cc depends on

subjects:
- kind: ServiceAccount
  name: speaker
  namespace: metallb-system
---
apiVersion: v1
data:
  excludel2.yaml: |
    announcedInterfacesToExclude: ["^docker.*", "^cbr.*", "^dummy.*", "^virbr.*", "^lxcbr.*", "^veth.*", "^lo$", "^cali.*", "^tunl.*", "^flannel.*", "^kube-ipvs.*", "^cni.*", "^nodelocaldns.*"]
kind: ConfigMap
metadata:
  name: metallb-excludel2
  namespace: metallb-system
---

	if err != nil {
		// Failed to create NewMultipartUpload, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

	uploadID := res.UploadID
	// Creating a dummy bucket for tests.
	err = obj.MakeBucket(context.Background(), "unused-bucket", MakeBucketOptions{})
	if err != nil {
		// Failed to create newbucket, abort.
		t.Fatalf("%s : %s", instanceType, err.Error())
	}

//          compelling use cases).
//          - If an array is given (`num_opers` >= 0), all operations
//          in it will become part of the function. In particular, no
//          automatic skipping of dummy input operations is performed.
//  ninputs - number of elements in `inputs` array
//  inputs - array of TF_Outputs that specify the inputs to the function.

	roleArns      set.StringSet
}

// GetAllParentUsers - returns all distinct "parent-users" associated with STS
// or service credentials, mapped to all distinct roleARNs associated with the
// parent user. The dummy role ARN is associated with parent users from
// policy-claim based OpenID providers. The root credential as a parent
// user is not included in the result.