public void testBase16Offset() {
    testEncodesWithOffset(base16(), "foobar", 0, 6, "666F6F626172");
    testEncodesWithOffset(base16(), "foobar", 1, 5, "6F6F626172");
    testEncodesWithOffset(base16(), "foobar", 2, 3, "6F6261");
    testEncodesWithOffset(base16(), "foobar", 3, 1, "62");
    testEncodesWithOffset(base16(), "foobar", 4, 0, "");
  }

  private static void testEncodingWithCasing(

    assertThat(body.contentType()).isEqualTo(contentType)
    assertThat(body.contentLength()).isEqualTo(3)
    assertThat(bodyToHex(body)).isEqualTo("616263")
    assertThat(bodyToHex(body), "Retransmit body").isEqualTo("616263")
  }

  @Test
  fun stringWithDefaultCharsetAdded() {
    val contentType = "text/plain".toMediaType()
    val body = "\u0800".toRequestBody(contentType)

 * conventional bounded queues, which either block or reject new elements when full.
 *
 * <p>This implementation is based on the <a
 * href="http://portal.acm.org/citation.cfm?id=6621">min-max heap</a> developed by Atkinson, et al.
 * Unlike many other double-ended priority queues, it stores elements in a single array, as compact
 * as the traditional heap data structure used in {@link PriorityQueue}.
 *