// Add it to the priority queue to explore.
					heap.Push(priq, c)
					hasDef.add(c.ID)
				}
			}

			// Visit children if they have not been visited yet.
			for c := s.tree[b.ID].firstChild; c != nil; c = s.tree[c.ID].sibling {
				if !queued.contains(c.ID) {
					q = append(q, c)
					queued.add(c.ID)
				}
			}
		}
	}
}

// If f returns false, range stops the iteration.
//
// Range does not necessarily correspond to any consistent snapshot of the Map's
// contents: no key will be visited more than once, but if the value for any key
// is stored or deleted concurrently (including by f), Range may reflect any
// mapping for that key from any point during the Range call. Range does not

			break
		}
		// update the new bit position with the new node mask
		bitPosition = n.prefix.Bits()
	}
	recursiveWalk[T](n, fn)

}

// WalkPath is used to walk the tree, but only visiting nodes
// from the root down to a given IP prefix. Where WalkPrefix walks
// all the entries *under* the given prefix, this walks the
// entries *above* the given prefix.

			loop := &forLoop{nfor: nfor, depth: 1 + len(r.forStack)}
			r.forStack = append(r.forStack, loop)
			r.startLoop(loop)
		}

	case nil:
		// n == nil signals that we are done visiting
		// the top-of-stack node's children. Find it.
		n = r.stack[len(r.stack)-1]

		// If we are inside a range-over-func,
		// take this moment to replace any break/continue/goto/return

      return true;
    }
    return hasCycle(network.asGraph());
  }

  /**
   * Performs a traversal of the nodes reachable from {@code node}. If we ever reach a node we've
   * already visited (following only outgoing edges and without reusing edges), we know there's a
   * cycle in the graph.
   */
  private static <N> boolean subgraphHasCycle(
      Graph<N> graph,

				// are extremely short (bounded by the nesting depth of interface
				// type declarations that recur via parameter types, an extremely
				// rare occurrence). An alternative implementation might use a
				// "visited" map, but that is probably less efficient overall.
				q := &ifacePair{x, y, p}
				for p != nil {
					if p.identical(q) {
						return true // same pair was compared before
					}
					p = p.prev
				}

		// Mark all stores which are not last in a store sequence.
		mark.clear()
		for _, v := range b.Values {
			if v.Op == OpStore {
				mark.add(v.MemoryArg().ID)
			}
		}

		// pick an order for visiting stores such that
		// later stores come earlier in the ordering.
		order = order[:0]
		for _, v := range b.Values {
			if v.Op != OpStore {
				continue
			}
			if mark.contains(v.ID) {

				// are extremely short (bounded by the nesting depth of interface
				// type declarations that recur via parameter types, an extremely
				// rare occurrence). An alternative implementation might use a
				// "visited" map, but that is probably less efficient overall.
				q := &ifacePair{x, y, p}
				for p != nil {
					if p.identical(q) {
						return true // same pair was compared before
					}
					p = p.prev
				}

     * @param packagePrefix resource path prefix inside {@code classloader} for any files found
     *     under {@code directory}
     * @param currentPath canonical files already visited in the current directory tree path, for
     *     cycle elimination
     */
    private void scanDirectory(
        File directory,
        String packagePrefix,
        Set<File> currentPath,

		otherwise, dot is set to the successive elements of the array,
		slice, or map and T1 is executed. If the value is a map and the
		keys are of basic type with a defined order, the elements will be
		visited in sorted key order.

	{{range pipeline}} T1 {{else}} T0 {{end}}
		The value of the pipeline must be an array, slice, map, or channel.
		If the value of the pipeline has length zero, dot is unaffected and