void Close(const TF_WritableFile* file, TF_Status* status);
}  // namespace tf_writable_file

namespace tf_read_only_memory_region {
void Cleanup(TF_ReadOnlyMemoryRegion* region);
const void* Data(const TF_ReadOnlyMemoryRegion* region);
uint64_t Length(const TF_ReadOnlyMemoryRegion* region);
}  // namespace tf_read_only_memory_region

namespace tf_gcs_filesystem {
typedef struct GcsFileStat {
  TF_FileStatistics base;
  int64_t generation_number;

    def getNumResults(self) -> int: ...
    def getRegion(self, arg0: int) -> Region: ...
    def getResult(self, arg0: int) -> OpResult: ...

class OperationState:
    def __init__(self, arg0: Location, arg1: str) -> None: ...
    def addOperands(self, arg0: list[Value]) -> None: ...
    def addRegion(self) -> Region: ...
    def addTypes(self, arg0: list[Type]) -> None: ...

class RankedTensorType(Type):

```
curl http://minio1:9001/minio/health/cluster
HTTP/1.1 503 Service Unavailable
Accept-Ranges: bytes
Content-Length: 0
Server: MinIO
Vary: Origin
X-Amz-Bucket-Region: us-east-1
X-Minio-Write-Quorum: 3
X-Amz-Request-Id: 16239D6AB80EBECF
X-Xss-Protection: 1; mode=block
Date: Tue, 21 Jul 2020 00:36:14 GMT
```

### Cluster-readable probe

	"os"
	"unsafe"
)

func isExecutable(protection int32) bool {
	return (protection&_VM_PROT_EXECUTE) != 0 && (protection&_VM_PROT_READ) != 0
}

// machVMInfo uses the mach_vm_region region system call to add mapping entries
// for the text region of the running process.
func machVMInfo(addMapping func(lo, hi, offset uint64, file, buildID string)) bool {
	added := false
	var addr uint64 = 0x1
	for {
		var memRegionSize uint64

)

type PrioritySelector func(src *mesh2.Client, dest *mesh2.Node) uint32

func LocalityPrioritySelector(src *mesh2.Client, dest *mesh2.Node) uint32 {
	priority := uint32(2)
	if src.Locality().Region == dest.Locality().Region {
		priority = 1
		if src.Locality().Zone == dest.Locality().Zone {
			priority = 0
		}
	}
	return priority

      info =
          &getAnalysis<mlir::TF::SideEffectAnalysis>().GetAnalysisForFunc(func);
    }
    func->walk([&](Operation* function) {
      for (Region& region : function->getRegions()) {
        for (Block& block : region.getBlocks()) {
          if (block.empty()) continue;
          auto ops = SortBlockTopologically(
              block, DialectOrdering,

	prot := syscall.PROT_READ | syscall.PROT_WRITE
	flags := syscall.MAP_FILE | syscall.MAP_SHARED
	region, err := syscall.Mmap(int(f.Fd()), 0, size, prot, flags)
	if err != nil {
		return nil, err
	}

	return &sharedMem{f: f, region: region, removeOnClose: removeOnClose}, nil
}

// Close unmaps the shared memory and closes the temporary file. If this

};

// Assign all ops in region with specified device from launch.
LogicalResult AssignDevicesInRegion(const Dialect* tf_dialect,
                                    tf_device::LaunchOp launch,
                                    Region& region) {
  auto parallel_group_attr =
      launch->getAttrOfType<StringAttr>(TF::kParallelExecAnnotation);
  auto result = region.walk([&](Operation* op) -> WalkResult {

            // Recursivley call again to raise any non-"CPU" subgraphs contained
            // within nested region of `op`.
            for (auto& region : op.getRegions())
              for (auto& block : region.getBlocks())
                RaiseTargetSubgraphsForBlock(block, builder, module,
                                             /*skip_cpu=*/true, func_count,

    // Update the regions. The dialect conversion framework wants new regions to
    // be created and updated, rather than updating the old op. Thus we use an
    // OperationState so we can add regions to the new op.
    OperationState state(op->getLoc(), op->getName().getStringRef(), operands,
                         new_results, op->getAttrs(), op->getSuccessors());
    for (Region& region : op->getRegions()) {