// ok: operations that don't require function calls.
			// Expand as needed.
		}

		return false
	})
}

// itabType loads the _type field from a runtime.itab struct.
func itabType(itab ir.Node) ir.Node {
	if itabTypeField == nil {
		// internal/abi.ITab's Type field

// machoExe is the Mach-O (Apple macOS/iOS) implementation of the exe interface.
type machoExe struct {
	f *macho.File
}

func (x *machoExe) ReadData(addr, size uint64) ([]byte, error) {
	for _, load := range x.f.Loads {
		seg, ok := load.(*macho.Segment)
		if !ok {
			continue
		}
		if seg.Addr <= addr && addr <= seg.Addr+seg.Filesz-1 {
			if seg.Name == "__PAGEZERO" {
				continue
			}

    /**
     * Returns true if this version generates a build operation that wraps the execution phase
     */
    boolean isToolingApiHasExecutionPhaseBuildOperation();

    /**
     * Returns true if this version loads the work graph from the configuration cache in the same build that the entry is stored.
     */
    boolean isLoadsFromConfigurationCacheAfterStore();

    /**

	SoftFloat      bool        //
	Race           bool        // race detector enabled
	BigEndian      bool        //
	UseFMA         bool        // Use hardware FMA operation
	unalignedOK    bool        // Unaligned loads/stores are ok
	haveBswap64    bool        // architecture implements Bswap64
	haveBswap32    bool        // architecture implements Bswap32
	haveBswap16    bool        // architecture implements Bswap16
}

type (

	// We shouldn't be running the leak check for parallel tests, because we might
	// report the goroutines from a test that is still running as a leak from a
	// completely separate test that has just finished. So we use non-atomic loads
	// and stores for the leakReported variable, and store every time we start a
	// leak check so that the race detector will flag concurrent leak checks as a
	// race even if we don't detect any leaks.
	leakReported = true

  }];
}

def IfrtLoadVariableOp: TensorflowMlrt_Op<"ifrt_load_variable", [Pure]> {
  let summary = "Loads a variable tensor as an IFRT array for mlrt";

  let description = [{
    This op loads a restored variable tensor as a tensor future. It is a
    replacement of `tf.ReadVariableOp`.

// the slot doesn't concurrently change color without the mutator
// noticing seems prohibitive.
//
// Consider the following example where the mutator writes into
// a slot and then loads the slot's mark bit while the GC thread
// writes to the slot's mark bit and then as part of scanning reads
// the slot.
//
// Initially both [slot] and [slotmark] are 0 (nil)
// Mutator thread          GC thread

                               tsl::protobuf::Message, ProtoT>>>
struct SerializedProtobufCaster {
 public:
  PYBIND11_TYPE_CASTER(ProtoT, const_name<ProtoT>());

  // Loads an `ProtoT` instance from a python `bytes` object (`src`).
  bool load(handle src, const bool convert) {
    auto caster = make_caster<absl::string_view>();
    // Make sure the user passed a valid python string.

			cfg, ok := provider.Config.(FileWatcherCertProviderConfig)
			if !ok {
				return nil
			}
			return &cfg
		}
	}
	return nil
}

// LoadBootstrap loads a Bootstrap from the given file path.
func LoadBootstrap(file string) (*Bootstrap, error) {
	data, err := os.ReadFile(file)
	if err != nil {
		return nil, err
	}
	b := &Bootstrap{}

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.Set;
import java.util.stream.Collectors;

/**
 * A factory for a worker process which loads the application classes using the JVM's system ClassLoader.
 *
 * <p>Class loader hierarchy:</p>
 * <pre>
 *                       jvm bootstrap
 *                             |
 *                             |