misses.add("INVALID");
    }

    List<String> sampleDataList = new ArrayList<>();
    sampleDataList.addAll(hits);
    sampleDataList.addAll(misses);
    Collections.shuffle(sampleDataList);
    sampleData = sampleDataList.toArray(new String[sampleDataList.size()]);
  }

  // Since we can't pass a concrete SomeEnum.class directly, we need to use a raw type.
  @SuppressWarnings("unchecked")

      misses.add("INVALID");
    }

    List<String> sampleDataList = new ArrayList<>();
    sampleDataList.addAll(hits);
    sampleDataList.addAll(misses);
    Collections.shuffle(sampleDataList);
    sampleData = sampleDataList.toArray(new String[sampleDataList.size()]);
  }

  // Since we can't pass a concrete SomeEnum.class directly, we need to use a raw type.
  @SuppressWarnings("unchecked")

		askDisks = len(disks) // use all available drives
	}

	// However many we ask, versions must exist on ~50%
	listingQuorum := (askDisks + 1) / 2

	if askDisks > 0 && len(disks) > askDisks {
		rand.Shuffle(len(disks), func(i, j int) {
			disks[i], disks[j] = disks[j], disks[i]
		})
		fallbackDisks = disks[askDisks:]
		disks = disks[:askDisks]
	}

	// How to resolve results.

      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

// stack frames in failure stack traces.
GTEST_DECLARE_bool_(show_internal_stack_frames);

// When this flag is specified, tests' order is randomized on every iteration.
GTEST_DECLARE_bool_(shuffle);

// This flag specifies the maximum number of stack frames to be
// printed in a failure message.
GTEST_DECLARE_int32_(stack_trace_depth);

// When this flag is specified, a failed assertion will throw an

// upon return or (b) locking is irrelevant.

// StartFunction begins the process of handling a request.  If the
// request gets queued then this function uses the given hashValue as
// the source of entropy as it shuffle-shards the request into a
// queue.  The descr1 and descr2 values play no role in the logic but
// appear in log messages.  This method does not return until the
// queuing, if any, for this request is done.  If `execute` is false

	. "gorm.io/gorm/utils/tests"
)

func TestMigrate(t *testing.T) {
	allModels := []interface{}{&User{}, &Account{}, &Pet{}, &Company{}, &Toy{}, &Language{}, &Tools{}}
	rand.Seed(time.Now().UnixNano())
	rand.Shuffle(len(allModels), func(i, j int) { allModels[i], allModels[j] = allModels[j], allModels[i] })
	DB.Migrator().DropTable("user_speaks", "user_friends", "ccc")

	if err := DB.Migrator().DropTable(allModels...); err != nil {

//	    the Go tree can run a sanity check but not spend time running
//	    exhaustive tests.
//
//	-shuffle off,on,N
//	    Randomize the execution order of tests and benchmarks.
//	    It is off by default. If -shuffle is set to on, then it will seed
//	    the randomizer using the system clock. If -shuffle is set to an
//	    integer N, then N will be used as the seed value. In both cases,

	if seed != -1 {
		rand.Seed(seed)
	}
	return rand.Intn(max-min) + min
}

// Randomizes the order of bytes in the byte array
// using Knuth Fisher-Yates shuffle algorithm.
func randomizeBytes(s []byte, seed int64) []byte {
	// special value -1 means no explicit seeding.
	if seed != -1 {
		rand.Seed(seed)
	}
	n := len(s)
	var j int

					askDisks = len(disks) // use all available drives
				}

				var fallbackDisks []StorageAPI
				if askDisks > 0 && len(disks) > askDisks {
					rand.Shuffle(len(disks), func(i, j int) {
						disks[i], disks[j] = disks[j], disks[i]
					})
					fallbackDisks = disks[askDisks:]
					disks = disks[:askDisks]
				}

				requestedVersions := 0