// Create a stand-alone region to hold all instructions in the cluster.
  Region region;
  region.push_back(new Block);

  // Move all operations in cluster to newly created region, stripping their
  // "device" attribute since launch op already carries device information.
  Block* block = &region.front();
  for (Operation* op : c.ops) {
    op->moveBefore(block, block->end());

                              const TF_ReadOnlyMemoryRegionOps* ops)
      : region_(std::move(region)), ops_(ops) {}

  ~ModularReadOnlyMemoryRegion() override { ops_->cleanup(region_.get()); };

  const void* data() override { return ops_->data(region_.get()); }
  uint64 length() override { return ops_->length(region_.get()); }

 private:

    // collect effects for all ops in the regions instead of collecting effects
    // for the op itself. This is important to avoid conservatism and to find
    // resource variable accesses in regions which are not exposed to the op
    // interface.
    for (Region& region : op->getRegions()) {
      for (Operation& region_op : region.front().without_terminator()) {

  const int num_regions = parallel_execute.getNumRegions();
  llvm::SmallVector<Value, 4> results_to_remap;

  // Go through each region and find AssignVariableOps that can be moved into
  // the parallel_execute region. Result indices by region index are collected,
  // so they can be removed afterwards.
  llvm::SmallVector<llvm::SmallVector<int, 4>, 4> results_to_remove_by_region;
  results_to_remove_by_region.resize(num_regions);

	"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

}

// Analyze the specified region for resource mutating operations, namely
// TF::AssignVariableOp, if so, set the resource associated as "potentially
// written". Do this recursively across the chain of regions via call or
// control flow ops.
// TODO(ashwinm): Move to iterative traversal.
LogicalResult ResourceAnalyzer::AnalyzeRegion(Region& region) {
  // Avoid infinite recursion.

    "${IP_ALIAS_SUBNETWORK}" --project="${PROJECT}" --region="${REGION}" \
    --format='value(fingerprint)')
  local access_token
  access_token=$(gcloud auth print-access-token)
  local request="{\"allowSubnetCidrRoutesOverlap\":$1, \"fingerprint\":\"${fingerprint}\"}"
  local subnetwork_url
  subnetwork_url="${GCE_API_ENDPOINT}projects/${PROJECT}/regions/${REGION}/subnetworks/${IP_ALIAS_SUBNETWORK}"

        "only memory regions");

  if (ops->data == nullptr)
    return errors::FailedPrecondition(
        "Trying to register filesystem without `data` operation on read only "
        "memory regions");

  if (ops->length == nullptr)
    return errors::FailedPrecondition(
        "Trying to register filesystem without `length` operation on read only "

    // Creates the `then` or `else` region of the `scf.if` op. Note that
    // `tf_then_or_else_region` is the `then` or `else` region of the
    // `tf.IfRegion` op and `scf_then_or_else_region` is the `then` or `else`
    // region of the new `scf.if` op. Further, `tf_if_region_return_type` is the
    // list of return types of the `tf.IfRegion` op.
    auto createScfThenOrElse = [](Region& tf_then_or_else_region,

	4:   {lang: 0x1f, region: 0x9a},
	5:   {lang: 0x3a, region: 0x6c},
	7:   {lang: 0x3b, region: 0x9d},
	8:   {lang: 0x1d7, region: 0x28},
	9:   {lang: 0x13, region: 0x9d},
	10:  {lang: 0x5b, region: 0x96},
	11:  {lang: 0x60, region: 0x52},
	12:  {lang: 0xb9, region: 0xb5},
	13:  {lang: 0x63, region: 0x96},
	14:  {lang: 0xa5, region: 0x35},
	15:  {lang: 0x3e9, region: 0x9a},
	17:  {lang: 0x529, region: 0x12f},