// Instead, WebAssembly automatically assigns indices. Imported functions (section "import")
	// have indices 0 to n. They are followed by native functions (sections "function" and "code")
	// with indices n+1 and following.
	//
	// The following rules describe how wasm handles function indices and addresses:
	//   PC_F = funcValueOffset + WebAssembly function index (not including the imports)

import org.codelibs.fess.thumbnail.ThumbnailManager;
import org.codelibs.fess.util.ComponentUtil;
import org.codelibs.fess.util.DocList;
import org.codelibs.fess.util.MemoryUtil;
import org.opensearch.action.admin.indices.refresh.RefreshResponse;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

public class IndexingHelper {

	if len(indices) == 0 {
		return errInvalidArgument
	}

	if z.SinglePool() {
		return errInvalidArgument
	}

	// Make pool unwritable before decommissioning.
	if err := z.StartDecommission(ctx, indices...); err != nil {
		return err
	}

	go func() {
		for _, idx := range indices {

        // requestedAttributes.
        //
        // If the requested attributes are [ A, B, C ]
        // If the attribute precedence is [ C, A ]
        // The indices are [ A: 0, B: 1, C: 2 ]
        // The sorted indices are [ 2, 0 ]
        // The unsorted indices are [ 1 ]
        //
        final AttributeSelectionSchema.PrecedenceResult precedenceResult = schema.orderByPrecedence(requested.keySet());

 * implementations, except when the table is sparse.
 *
 * <p>Null row keys or column keys are not permitted.
 *
 * <p>This class provides methods involving the underlying array structure, where the array indices
 * correspond to the position of a row or column in the lists of allowed keys and values. See the
 * {@link #at}, {@link #set}, {@link #toArray}, {@link #rowKeyList}, and {@link #columnKeyList}
 * methods for more details.
 *

  std::sort(retvals.begin(), retvals.end(),
            [](Node* a, Node* b) { return a->name() < b->name(); });

  // Computes the permutation to produce the correct argument order, and update
  // the argument indices.
  int variable_start_index = num_args;
  for (int i = 0; i < num_args; ++i) {
    int index;
    TF_RETURN_IF_ERROR(GetIndexAttr(*args[i], num_args, &index));
    if (args[i]->output_type(0) == DT_RESOURCE &&

// CHECK-LABEL: test_sparse_segment_sum
func.func @test_sparse_segment_sum(%indices: tensor<3xi64>, %segment_ids: tensor<3xi64>) -> (tensor<?x28xf32>){
    // expected-remark@+1 {{Cost: 1}}
    %data = "tf.Const"() { value = dense<0.1> : tensor<476x28xf32> } : () -> tensor<476x28xf32>
    // expected-remark@+1 {{Cost: 28}}

	}
}

// A fastpath for recomputeDestinationIndex_locked for "removing edge" case.
func (g *Graph) removeEdgeFromDestinationIndex_locked(e graph.Edge) {
	n := e.From()
	// don't maintain indices for nodes with few edges
	edgeCount := g.graph.Degree(n)
	if edgeCount < g.destinationEdgeThreshold {
		delete(g.destinationEdgeIndex, n.ID())
		return
	}

  //     to segment the indices array, each segment corresponds to one element
  //     in the previous dimension. array_indices represents the index of the
  //     non-zero elements within this dimension (as those in the CSR matrix
  //     format, where the first array is row pointers and the second array is
  //     column indices).
  dense_size:int;
  array_segments:SparseIndexVector;

	// If there are key/value pairs, create a map to keep seen
	// keys so we can check for duplicate indices.
	var indices map[int64]bool
	for _, elt := range elts {
		if elt.Op() == ir.OKEY {
			indices = make(map[int64]bool)
			break
		}
	}

	var key, length int64
	for i, elt := range elts {
		ir.SetPos(elt)
		r := elts[i]