val result = replaceInnerReceiverWithTopLevel(assignments.single().rhs)
            val valAssignedFunction = ((result as ObjectOrigin.FromLocalValue).assigned) as ObjectOrigin.NewObjectFromMemberFunction
            val functionReceiver = valAssignedFunction.receiver as ObjectOrigin.ImplicitThisReceiver
            assertEquals(topLevelReceiver, functionReceiver.resolvedTo)
        }

type NodePortAddresses struct {
	cidrStrings []string

	cidrs                []*net.IPNet
	containsIPv4Loopback bool
	matchAll             bool
}

// RFC 5735 127.0.0.0/8 - This block is assigned for use as the Internet host loopback address
var ipv4LoopbackStart = net.IPv4(127, 0, 0, 0)

// NewNodePortAddresses takes an IP family and the `--nodeport-addresses` value (which is

#include "tensorflow/core/framework/allocator.h"
#include "tensorflow/core/framework/device_base.h"
#include "tensorflow/core/lib/core/status.h"

namespace tensorflow {

// The allocator used for Tensors assigned to the XLA device. The allocator
// ignores the alignment and size of the request and always returns a new,
// empty, XlaTensor.
class XlaDeviceAllocator : public Allocator {
 public:

			"status",
		)
	if errors.IsNotFound(err) {
		return nil
	}
	return err
}

// Get any IPs currently assigned to the Pod.
//
// If 'PodIPs' exists, it is preferred (and should be guaranteed to contain the address in 'PodIP'),
// otherwise fallback to 'PodIP'.
//

	GetCapacity() (v1.ResourceList, v1.ResourceList, []string)
	GetWatcherHandler() cache.PluginHandler

	// GetDevices returns information about the devices assigned to pods and containers
	GetDevices(podUID, containerName string) ResourceDeviceInstances

	// GetAllocatableDevices returns information about all the devices known to the manager
	GetAllocatableDevices() ResourceDeviceInstances

## Description from docstring

As descriptions tend to be long and cover multiple lines, you can declare the *path operation* description in the function <abbr title="a multi-line string as the first expression inside a function (not assigned to any variable) used for documentation">docstring</abbr> and **FastAPI** will read it from there.

Status DeviceNameToDeviceType(const string& device, DeviceType* device_type) {
  DeviceNameUtils::ParsedName parsed;
  if (!DeviceNameUtils::ParseFullName(device, &parsed)) {
    return errors::Internal("Malformed assigned device '", device, "'");
  }
  *device_type = DeviceType(parsed.type);
  return absl::OkStatus();
}

absl::StatusOr<std::optional<jit::DeviceId>> PickDeviceForXlaImpl(

  RETURN_FAILURE_IF_ERROR(status);
  auto clean_op = MakeCleanup([op] { TFE_DeleteOp(op); });

  // Explicitly set device to Host CPU instead of the device present in device
  // attribute of the MLIR op. The assigned device might be remote, not
  // available during compilation or compilation only device for on demand
  // execution which may create a recursion if used for constant folding.

        ErrorReason.UnitAssignment -> "assignment of a Unit value"
        ErrorReason.UnresolvedAssignmentLhs -> "unresolved assignment target"
        ErrorReason.UnresolvedAssignmentRhs -> "unresolved assigned value"
        is ErrorReason.UnresolvedReference -> "unresolved reference '${errorReason.reference.sourceData.text()}'"
        ErrorReason.UnusedConfigureLambda -> "a configuring block is not expected"

// the name of the curve to see if it matches the curves supported(P-256, P-384, P-521).
// Then, based on the curve name, a function code and a block size will be assigned.
// If KDSA instruction is not available or if the curve is not supported, canUseKDSA
// will set ok to false.
func canUseKDSA(c elliptic.Curve) (functionCode uint64, blockSize int, ok bool) {
	if testingDisableKDSA {