new byte[] {
                (byte) 0xef, (byte) 0xcd, (byte) 0xab, (byte) 0x89,
                (byte) 0x67, (byte) 0x45, (byte) 0x23, (byte) 0x01
              },
              0x89abcdef,
              0x0123456789abcdefL,
              "efcdab8967452301"),
          new ExpectedHashCode(
              new byte[] {
                (byte) 0xef, (byte) 0xcd, (byte) 0xab, (byte) 0x89,

              new byte[] {
                (byte) 0xef, (byte) 0xcd, (byte) 0xab, (byte) 0x89,
                (byte) 0x67, (byte) 0x45, (byte) 0x23, (byte) 0x01
              },
              0x89abcdef,
              0x0123456789abcdefL,
              "efcdab8967452301"),
          new ExpectedHashCode(
              new byte[] {
                (byte) 0xef, (byte) 0xcd, (byte) 0xab, (byte) 0x89,

  // is masked in order to correspond to the current table size. For example, if the table size
  // is 128 then the mask is 127 == 0x7f, keeping the bottom 7 bits of the hash value.
  // If a key hashes to 0x89abcdef the mask reduces it to 0x89abcdef & 0x7f == 0x6f. We'll call this
  // the "short hash".
  //
  // The `keys`, `values`, and `entries` arrays always have the same size as each other. They can be

  // is masked in order to correspond to the current table size. For example, if the table size
  // is 128 then the mask is 127 == 0x7f, keeping the bottom 7 bits of the hash value.
  // If a key hashes to 0x89abcdef the mask reduces it to 0x89abcdef & 0x7f == 0x6f. We'll call this
  // the "short hash".
  //
  // The `keys`, `values`, and `entries` arrays always have the same size as each other. They can be

        val codepointDelta = (b1 and 0xF shl 14) or (b2 shl 7) or b3
        sink.writeUtf8CodePoint(codePoint - codepointDelta)
      }
      in 80..95 -> {
        // Mapped inline as codePoint delta to add
        val b2 = ranges[rangesIndex + 2].code
        val b3 = ranges[rangesIndex + 3].code

        val codepointDelta = (b1 and 0xF shl 14) or (b2 shl 7) or b3

      encodings[ 0x1c] = encoding // File Separator
      encodings[ 0x1d] = encoding // Group Separator
      encodings[ 0x1e] = encoding // Record Separator
      encodings[ 0x1f] = encoding // Unit Separator
      encodings[ 0x7f] = encoding // Delete
    }

  fun nonAscii(encoding: Encoding) =
    apply {
      encodings[UNICODE_2] = encoding
      encodings[UNICODE_3] = encoding

          b2bit8 && b3bit8 -> 127
          b3bit8 -> 126
          b2bit8 -> 125
          else -> 124
        }
      }

    val b2: Int
      get() = mappedTo[0] and 0x7f

    val b3: Int
      get() = mappedTo[1] and 0x7f
  }

  data class InlineDelta(
    override val rangeStart: Int,
    val codepointDelta: Int,
  ) : MappedRange {
    private val absoluteDelta = abs(codepointDelta)

    sectionIndexBuffer.writeByte((section and 0x3f80) shr 7)

    // Section index.
    sectionIndexBuffer.writeByte((sectionOffset and 0x3f80) shr 7)
    sectionIndexBuffer.writeByte(sectionOffset and 0x7f)

    // Ranges.
    for (range in sectionMappedRanges) {
      rangesBuffer.writeByte(range.rangeStart)

      when (range) {
        is MappedRange.Constant -> {
          rangesBuffer.writeByte(range.b1)

/** Benchmark for {@code BaseEncoding} performance. */
@NullUnmarked
public class BaseEncodingBenchmark {
  private static final int INPUTS_COUNT = 0x1000;
  private static final int INPUTS_MASK = 0xFFF;

  enum EncodingOption {
    BASE64(BaseEncoding.base64()),
    BASE64_URL(BaseEncoding.base64Url()),
    BASE32(BaseEncoding.base32()),
    BASE32_HEX(BaseEncoding.base32Hex()),
    BASE16(BaseEncoding.base16());

   * also demonstrates how sparse the lookup table is.
   */
  @Test
  fun allFormattedFlagsWithValidBits() {
    val formattedFlags = mutableListOf<String>() // Highest valid flag is 0x20.
    for (i in 0..0x3f) formattedFlags.add(formatFlags(TYPE_HEADERS, i))
    assertThat(formattedFlags).containsExactly(
      "",
      "END_STREAM",
      "00000010",
      "00000011",
      "END_HEADERS",