}
	fakePodControl.Clear()
}

// shuffle returns a new shuffled list of container controllers.
func shuffle(controllers []*apps.ReplicaSet) []*apps.ReplicaSet {
	numControllers := len(controllers)
	randIndexes := rand.Perm(numControllers)
	shuffled := make([]*apps.ReplicaSet, numControllers)
	for i := 0; i < numControllers; i++ {
		shuffled[i] = controllers[randIndexes[i]]
	}
	return shuffled
}

	verifyUpdates(t, m, 0)
}

// shuffle returns a new shuffled list of container statuses.
func shuffle(statuses []v1.ContainerStatus) []v1.ContainerStatus {
	numStatuses := len(statuses)
	randIndexes := rand.Perm(numStatuses)
	shuffled := make([]v1.ContainerStatus, numStatuses)
	for i := 0; i < numStatuses; i++ {
		shuffled[i] = statuses[randIndexes[i]]
	}
	return shuffled
}

        .inOrder();
  }

  /**
   * Populates the graph with nodes and edges in a star shape with node `1` in the middle.
   *
   * <p>Note that the edges are added in a shuffled order to properly test the effect of the
   * insertion order.
   */
  private void populateTShapedGraph() {
    putEdge(2, 1);
    putEdge(1, 4);
    putEdge(1, 3);
    putEdge(1, 2); // Duplicate

// first pass over the data. It's an argument here because we merge the first
// pass with the Huffman decoding.
//
// This also implements the “single array” method from the bzip2 source code
// which leaves the output, still shuffled, in the bottom 8 bits of tt with the
// index of the next byte in the top 24-bits. The index of the first byte is
// returned.
func inverseBWT(tt []uint32, origPtr uint, c []uint) uint32 {
	sum := uint(0)

		// symbols reliably. Sort by name but use a stable sort, so that
		// any original entries with the same name (all DWARFVAR symbols
		// have empty names but different relocation sets) are not shuffled.
		// TODO: Find a better place and optimize to only sort TOC symbols.
		sort.SliceStable(ctxt.Data, func(i, j int) bool {
			return ctxt.Data[i].Name < ctxt.Data[j].Name
		})
	}

      return no_op();

    // For vectors, shuffle values by sorting instead of the obvious
    // Fisher-Yates algorithm. Fisher-Yates is simple to implement and correct,
    // but not easily parallelizable. For a sufficiently parallel architecture,
    // it is faster to sort many times, than Fisher-Yates shuffle once.
    if (input_rank == 1) {
      // Shuffle values by assigning each value a random key and sorting the

#define EXPORT_FUNC
#endif

class EXPORT_FUNC Deck {
    Card card;
public:
    void shuffle();
    Card& draw();
};
"""))
        final SourceFileElement source = ofFile(new SourceFile("cpp", "deck.cpp", """
#include "deck.h"
#include "shuffle.h"

void Deck::shuffle() {
    ShuffleAlgorithm shuffler;
    shuffler.shuffle();
}

Card& Deck::draw() {
    return card;
}
"""))
    }

  static bool ShouldRunTest(const TestInfo* test_info) {
    return test_info->should_run();
  }

  // Shuffles the tests in this test case.
  void ShuffleTests(internal::Random* random);

  // Restores the test order to before the first shuffle.
  void UnshuffleTests();

  // Name of the test case.
  std::string name_;
  // Name of the parameter type, or NULL if this is not a typed or a

  static bool ShouldRunTest(const TestInfo* test_info) {
    return test_info->should_run();
  }

  // Shuffles the tests in this test case.
  void ShuffleTests(internal::Random* random);

  // Restores the test order to before the first shuffle.
  void UnshuffleTests();

  // Name of the test case.
  std::string name_;
  // Name of the parameter type, or NULL if this is not a typed or a

		t.Fatal(err)
	}
}

func TestDash(t *testing.T) {
	m := MapFS{
		"a-b/a": {Data: []byte("a-b/a")},
	}
	if err := TestFS(m, "a-b/a"); err != nil {
		t.Error(err)
	}
}

type shuffledFS MapFS

func (fsys shuffledFS) Open(name string) (fs.File, error) {
	f, err := MapFS(fsys).Open(name)
	if err != nil {
		return nil, err
	}
	return &shuffledFile{File: f}, nil
}

type shuffledFile struct{ fs.File }