* points. In these cases it is necessary to extend either {@link ArrayBasedCharEscaper} or {@link
   * ArrayBasedUnicodeEscaper} to provide the desired behavior. However this builder is suitable for
   * creating escapers that replace a relative small set of characters.
   *
   * @author David Beaumont
   * @since 15.0
   */
  public static final class Builder {

// a certain combination:
// - no object exists with suitable topology and storage class name
// - such an object exists, but the capacity is unset
// - such an object exists, but the capacity is zero
//
// The producer of these objects can decide which approach is more suitable.
//
// They are consumed by the kube-scheduler when a CSI driver opts into

	if proxyID != "" && con == nil {
		// We can't guarantee the Pilot we are connected to has a connection to the proxy we requested
		// There isn't a great way around this, but for debugging purposes its suitable to have the caller retry.
		w.WriteHeader(http.StatusNotFound)
		_, _ = w.Write([]byte("Proxy not connected to this Pilot instance. It may be connected to another instance.\n"))
		return
	}
	if con == nil {

            this.dcListExpiration = 0;
        }
        while ( retry-- > 0 );

        this.dcListExpiration = now + 1000 * 60 * 15; /* 15 min */
        throw new UnknownHostException("Failed to negotiate with a suitable domain controller for " + domain);
    }


    private static NtlmChallenge interrogate ( CIFSContext tf, Address addr ) throws SmbException {
        UniAddress dc = new UniAddress(addr);

    xla::PjRtDevice* device, xla::PjRtClient* pjrt_client,
    xla::PjRtLoadedExecutable* executable);

// Helper class to perform the marshalling of TensorFlow inputs and outputs to
// ShapedBuffers suitable for passing to an XLA computation.
class XlaComputationLaunchContext {
 public:
  // Create a new launch context. 'allocate_xla_tensors' is true if allocated

  }
  *module_proto->mutable_input_output_alias() = config.ToProto();
  return absl::OkStatus();
}

bool failed(const absl::Status& status) { return !status.ok(); }

// Transforms the given module to be suitable for export to TensorFlow GraphDef
// and then exports all functions to the given library.
Status PrepareAndExportToLibrary(mlir::ModuleOp module,
                                 FunctionLibraryDefinition* flib_def) {

      busyOffset = UNSAFE.objectFieldOffset(sk.getDeclaredField("busy"));
    } catch (Exception e) {
      throw new Error(e);
    }
  }

  /**
   * Returns a sun.misc.Unsafe. Suitable for use in a 3rd party package. Replace with a simple call
   * to Unsafe.getUnsafe when integrating into a jdk.
   *
   * @return a sun.misc.Unsafe
   */
  private static sun.misc.Unsafe getUnsafe() {
    try {

      busyOffset = UNSAFE.objectFieldOffset(sk.getDeclaredField("busy"));
    } catch (Exception e) {
      throw new Error(e);
    }
  }

  /**
   * Returns a sun.misc.Unsafe. Suitable for use in a 3rd party package. Replace with a simple call
   * to Unsafe.getUnsafe when integrating into a jdk.
   *
   * @return a sun.misc.Unsafe
   */
  private static sun.misc.Unsafe getUnsafe() {
    try {

			return &CheckEqualError{CheckError{i + 1, toInterfaces(arguments)}, xOut, yOut}
		}
	}

	return nil
}

// arbitraryValues writes Values to args such that args contains Values
// suitable for calling f.
func arbitraryValues(args []reflect.Value, f reflect.Type, config *Config, rand *rand.Rand) (err error) {
	if config.Values != nil {
		config.Values(args, rand)
		return
	}

  // For each op in the graph, get the resources it uses and update the access
  // information for them.
  graph_op.walk([&](IslandOp island) {
    // This pass assumes that all functions are suitable for export i.e., each
    // function has a single tf_executor.graph op and all islands wrap the
    // internal op perfectly. Hence this assertion should never fail.
    assert(island.WrapsSingleOp());