@Param({"10", "1024", "1048576"})
  int size;

  String data;

  @BeforeExperiment
  public void setUp() {
    // precalculate some random strings of ascii characters.
    StringBuilder sb = new StringBuilder();
    Random random = new Random(0xdeadbeef); // for unpredictable but reproducible behavior
    sb.ensureCapacity(size);
    for (int k = 0; k < size; k++) {

  @Param({"0", "1", "16", "256", "4096", "65536"})
  int size;

  // use concrete classes to remove any possible polymorphic overhead?
  Object[] array;
  ArrayList<Object> arrayList;
  LinkedList<Object> linkedList;

  @BeforeExperiment
  void setUp() {
    array = new Object[size];
    arrayList = Lists.newArrayListWithCapacity(size);
    linkedList = Lists.newLinkedList();

    final int len = string.length();
    final int size = len * count;
    final char[] array = new char[size];
    string.getChars(0, len, array, 0);
    int n;
    for (n = len; n < size - n; n <<= 1) {
      System.arraycopy(array, 0, array, n, n);
    }
    System.arraycopy(array, 0, array, n, size - n);
    return new String(array);
  }

    assertThat(body.contentType().toString())
      .isEqualTo("multipart/mixed; boundary=123")
    assertThat(body.parts.size).isEqualTo(1)
    assertThat(body.contentLength()).isEqualTo(33L)
    val buffer = Buffer()
    body.writeTo(buffer)
    assertThat(body.contentLength()).isEqualTo(buffer.size)
    assertThat(buffer.readUtf8()).isEqualTo(expected)
  }

  @Test
  fun threeParts() {
    val expected =
      """

        assertEquals(4, res.getVertices().size(), "wrong # of vertices in the resulting graph after resolver");
        assertEquals(
                2,
                res.getExcidentEdges(v1).size(),
                "wrong # of excident edges in the resulting graph entry after resolver");

        assertEquals(
                1,
                res.getIncidentEdges(v2).size(),

        item.readings = readings.toArray(new String[readings.size()][]);
        item.fields = fields.toArray(new String[fields.size()]);
        item.docFreq = docFreq;
        item.queryFreq = queryFreq;
        item.userBoost = userBoost;
        item.tags = tags.toArray(new String[tags.size()]);
        item.roles = roles.toArray(new String[roles.size()]);
        item.languages = languages.toArray(new String[languages.size()]);

}

// New returns a new RingBuffer whose buffer has the given size.
func New(size int) *RingBuffer {
	return &RingBuffer{
		buf:  make([]byte, size),
		size: size,
	}
}

// NewBuffer returns a new RingBuffer whose buffer is provided.
func NewBuffer(b []byte) *RingBuffer {
	return &RingBuffer{
		buf:  b,
		size: len(b),
	}
}

// SetBlocking sets the blocking mode of the ring buffer.

  for (int device_index = 0; device_index < underlying_devices_.size();
       ++device_index) {
    DeviceThread* device_thread = device_threads_[device_index].get();
    std::vector<TFE_TensorHandle*> device_inputs;
    device_inputs.reserve(inputs.size());
    for (int input_index = 0; input_index < inputs.size(); ++input_index) {
      // Parallel tensors are divided between operations by device.

    private boolean skipDuplicateWords = true;

    public void setIndex(final String index) {
        this.index = index;
    }

    public void setSize(final int size) {
        this.size = size;
    }

    public void setQuery(final String query) {
        this.query = query;
    }

    public void addTag(final String tag) {
        tags.add(tag);
    }

    /**
     * @return the version
     */
    public final int getVersion () {
        return this.version;
    }


    /**
     * @return the size
     */
    public final int getSize () {
        return this.size;
    }


    /**
     * @return the serverType
     */
    public final int getServerType () {
        return this.serverType;
    }


    /**