"@com_google_googletest//:gtest_main",
    ],
)

tf_cc_test(
    name = "parallel_device_remote_test",
    srcs = ["parallel_device_remote_test.cc"],
    # TODO(b/136478427): Enable global heap checking when servers shut down
    # cleanly.
    args = ["--heap_check="],
    deps = [
        ":parallel_device_lib",
        ":parallel_device_testlib",
        "//tensorflow/c:c_api",

        return sub_authority[sub_authority_count - 1];
    }

    /**
     * Returns the type of this SID indicating the state or type of account.
     * <p>
     * SID types are described in the following table.
     * <tt>
     * <table>
     * <tr><th>Type</th><th>Name</th></tr>
     * <tr><td>SID_TYPE_USE_NONE</td><td>0</td></tr>
     * <tr><td>SID_TYPE_USER</td><td>User</td></tr>

    private Set<String> scopes;

    /**
     * Create a new filter with the specified scopes and their implied scopes enabled.
     *
     * @param scopes The scopes to enable, along with all implied scopes, may be {@code null}.
     */
    public CumulativeScopeArtifactFilter(Collection<String> scopes) {
        this.scopes = new HashSet<>();

        addScopes(scopes);
    }

    /**

@needs_pydanticv1
def test_union_scalar_list():
    # For coverage
    # TODO: there might not be a current valid code path that uses this, it would
    # potentially enable query parameters defined as both a scalar and a list
    # but that would require more refactors, also not sure it's really useful
    from fastapi._compat import is_pv1_scalar_field

    field_info = FieldInfo()

        echo "### NOT starting on installation, please execute the following statements to configure fess service to start automatically using systemd"
        echo " sudo systemctl daemon-reload"
        echo " sudo systemctl enable fess.service"
        echo "### You can start fess service by executing"
        echo " sudo systemctl start fess.service"

    elif command -v chkconfig >/dev/null; then

	const maxStaleRetries = 10
	const msInterval = 10
	retries := 0
	var ambientPod *corev1.Pod
	var err error

	// The plugin already consulted the k8s API - but on this end handler caches may be stale, so retry a few times if we get no pod.
	// if err is returned, we couldn't find the pod
	// if nil is returned, we found it but ambient is not enabled

// so there is no risk of polluting the entire cache with data accessed once.
// Another goal of DirectIO is to minimize the mutation of data by the kernel
// before issuing IO to underlying devices. ZFS users often enable features like
// compression and checksumming which currently necessitates mutating data in
// the kernel.
//
// DirectIO semantics for a filesystem like ZFS would be quite different than

    int[] cellColumnIndices = new int[cellSet().size()];
    int i = 0;
    for (Cell<R, C, V> cell : cellSet()) {
      // requireNonNull is safe because the cell exists in the table.
      cellColumnIndices[i++] = requireNonNull(columnKeyToIndex.get(cell.getColumnKey()));
    }
    return SerializedForm.create(this, cellRowIndices, cellColumnIndices);
  }

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

| KMS                                                                                          | Purpose                                                           |

  ) {
    if (sslSocket is org.openjsse.javax.net.ssl.SSLSocket) {
      val sslParameters = sslSocket.sslParameters

      if (sslParameters is org.openjsse.javax.net.ssl.SSLParameters) {
        // Enable ALPN.
        val names = alpnProtocolNames(protocols)
        sslParameters.applicationProtocols = names.toTypedArray()

        sslSocket.sslParameters = sslParameters
      }
    } else {