s3Type := r.Target.Type == BatchJobReplicateResourceS3 || r.Source.Type == BatchJobReplicateResourceS3

		if err := api.Walk(ctx, r.Source.Bucket, r.Source.Prefix, walkCh, WalkOptions{
			Marker:   lastObject,
			Filter:   selectObj,
			AskDisks: walkQuorum,
		}); err != nil {
			cancel()
			// Do not need to retry if we can't list objects on source.

  // Walk the input and output dependencies of the Ops in `operations` to form
  // the closer of Ops needed to evaluate 'operations'. Input dependencies are
  // walked if 'predecessors' is true and output dependencies are walked if
  // 'successors' is true. In either case, if a discoverd Op is in the
  // 'ops_to_avoid' set, then the dependency walking is terminated.

      tensorflow::SerializeMlirModule(module_for_func.get());
}

// Returns whether `op` or ops nested in `op` are outside compiled.
bool HasOutsideCompilationNested(Operation* op) {
  return op
      ->walk([&](Operation* walked_op) {
        if (op == walked_op) return WalkResult::advance();
        if (walked_op->hasAttr(kXlaOutsideCompilationAttr)) {
          return WalkResult::interrupt();
        }

	// Populate "rval" with what we've computed.
	rval.Slots = state.slots
	rval.VarSlots = state.varSlots
	rval.Vars = state.vars
	rval.LocationLists = state.lists
}

// liveness walks the function in control flow order, calculating the start
// and end state of each block.
func (state *debugState) liveness() []*BlockDebug {
	blockLocs := make([]*BlockDebug, state.f.NumBlocks())
	counterTime := int32(1)

  std::vector<mlir::func::FuncOp> to_delete_funcs;
  module.walk([&](mlir::vhlo::ReduceOpV1 reduce_op) {
    auto body = symbol_table.lookup<mlir::func::FuncOp>(
        reduce_op->getAttr("body").cast<mlir::FlatSymbolRefAttr>().getValue());
    InlineVhloOpRegion(reduce_op.getBody(), body);
    reduce_op->removeAttr("body");
    to_delete_funcs.push_back(body);
  });
  module.walk([&](mlir::vhlo::ReduceWindowOpV1 reduce_window_op) {

package runtime

import (
	"internal/abi"
	"internal/bytealg"
	"internal/goarch"
	"internal/stringslite"
	"runtime/internal/sys"
	"unsafe"
)

// The code in this file implements stack trace walking for all architectures.
// The most important fact about a given architecture is whether it uses a link register.
// On systems with link registers, the prologue for a non-leaf function stores the

			// New block. Clear candidate set.
			canLiveOnStack.clear()
			for _, c := range b.ControlValues() {
				if c.Uses == 1 && !opcodeTable[c.Op].generic {
					canLiveOnStack.add(c.ID)
				}
			}
			// Walking backwards.
			for i := len(b.Values) - 1; i >= 0; i-- {
				v := b.Values[i]
				if canLiveOnStack.contains(v.ID) {
					v.OnWasmStack = true
				} else {

	return expandGoroot(fname)
}

// writeDirFileTables emits the portion of the DWARF line table
// prologue containing the include directories and file names,
// described in section 6.2.4 of the DWARF 4 standard. It walks the
// filepaths for the unit to discover any common directories, which
// are emitted to the directory table first, then the file table is
// emitted after that.

		nil, // No need for selectable fields
	)

	return func(new, old *unstructured.Unstructured) {
		_ = strategy.ValidateUpdate(context.TODO(), new, old)
	}, nil
}

// Recursively walks the provided directory and parses the YAML files into
// unstructured objects. If there are more than one object in a single file,
// they are all added to the returned slice.

//
// When the hashtable grows, we allocate a new array
// of buckets twice as big. Buckets are incrementally
// copied from the old bucket array to the new bucket array.
//
// Map iterators walk through the array of buckets and
// return the keys in walk order (bucket #, then overflow
// chain order, then bucket index).  To maintain iteration
// semantics, we never move keys within their bucket (if
// we did, keys might be returned 0 or 2 times).  When