private const val UNICODE_4 = 0x1d11e

    /**
     * Returns a new instance configured with a default encode set for the ASCII range. The specific
     * rules vary per-component: for example, '?' may be identity-encoded in a fragment, but must be
     * percent-encoded in a path.
     *
     * See https://url.spec.whatwg.org/#percent-encoded-bytes
     */

       */
      private var smallestHeaderTableSizeSetting = Integer.MAX_VALUE
      private var emitDynamicTableSizeUpdate: Boolean = false

      @JvmField var maxDynamicTableByteCount: Int = headerTableSizeSetting

      // Visible for testing.
      @JvmField var dynamicTable = arrayOfNulls<Header>(8)

And of course, the same machine would probably have **other processes** running as well, apart from your application.

An interesting detail is that the percentage of the **CPU used** by each process can **vary** a lot over time, but the **memory (RAM)** normally stays more or less **stable**.

	readerNoEOF := newTestReaderNoEOF(content)
	err := obj.MakeBucket(context.Background(), "bucket", MakeBucketOptions{})
	if err != nil {
		t.Fatalf("%s: <ERROR> %s", instanceType, err)
	}

	var bytesBuffer1 bytes.Buffer
	var opts ObjectOptions
	_, err = obj.PutObject(context.Background(), "bucket", "object", mustGetPutObjReader(t, readerEOF, length, "", ""), opts)
	if err != nil {
		t.Fatalf("%s: <ERROR> %s", instanceType, err)
	}

    source: BufferedSource,
    sink: BufferedSink,
    sequenceNumber: Int,
  ): RecordedRequest {
    var request = ""
    val headers = Headers.Builder()
    var contentLength = -1L
    var chunked = false
    val requestBody = TruncatingBuffer(bodyLimit)
    val chunkSizes = mutableListOf<Int>()
    var failure: IOException? = null

    try {
      request = source.readUtf8LineStrict()

 *  Fix: Websockets no longer rebuffer socket streams.
 *  Fix: Websockets are now better at handling close frames.
 *  Fix: Content type matching is now case insensitive.
 *  Fix: `Vary` headers are not lost with `android.net.http.HttpResponseCache`.
 *  Fix: HTTP/2 wasn't enforcing stream timeouts when writing the underlying
    connection. Now it is.

    for (int i = 0; i < map.segments.length; i++) {
      assertEquals(segmentSize, map.segments[i].table.length());
    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);

    for (int i = 0; i < map.segments.length; i++) {
      assertEquals(segmentSize, map.segments[i].table.length());
    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);

   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly
   * higher value than you need can waste space and time, and a significantly lower value can lead

    return new Or(this, other);
  }

  /**
   * Returns a {@code char} matcher functionally equivalent to this one, but which may be faster to
   * query than the original; your mileage may vary. Precomputation takes time and is likely to be
   * worthwhile only if the precomputed matcher is queried many thousands of times.
   *