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}}

	}
	if Inst != Tree {
		t.Errorf("Duplicate instances in cycle: %s (%p) -> %s (%p) -> %s (%p)", Inst, Inst, Node, Node, Tree, Tree)
	}
}

// TestMethodOrdering is a simple test verifying that the indices of methods of
// a named type remain the same as long as the same source and AddMethod calls
// are presented to the type checker in the same order (go.dev/issue/61298).
func TestMethodOrdering(t *testing.T) {
	const src = `

	}
}

// 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]

    public static void afterClass() throws Exception {
        runner.close();
        runner.clean();
    }

    @Before
    public void before() throws Exception {
        try {
            runner.admin().indices().prepareDelete("_all").execute().actionGet();
        } catch (IndexNotFoundException ignore) {

        }
        runner.refresh();
        settings = Suggester.builder().build(runner.client(), id).settings();
    }

import org.codelibs.opensearch.runner.OpenSearchRunner;
import org.junit.AfterClass;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;
import org.opensearch.action.admin.indices.get.GetIndexResponse;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.index.IndexAction;
import org.opensearch.action.index.IndexRequestBuilder;

}

void OneHotOp::build(OpBuilder &builder, OperationState &result, Value indices,
                     Value depth, Value on_value, Value off_value,
                     IntegerAttr axis) {
  build(builder, result,
        InferOneHotOpType(indices, depth, on_value, off_value, axis), indices,
        depth, on_value, off_value, axis);
}

 * 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.
 *