fun readerEmpty() {
    val body = body("")
    assertThat(exhaust(body.charStream())).isEqualTo("")
  }

  @Test
  fun readerLooksLikeBomButTooShort() {
    val body = body("000048")
    assertThat(exhaust(body.charStream())).isEqualTo("\u0000\u0000H")
  }

  @Test
  fun readerDefaultsToUtf8() {
    val body = body("68656c6c6f")
    assertThat(exhaust(body.charStream())).isEqualTo("hello")
  }

  @Test

    Reader reader = new StringReader(ASCII);
    assertEquals(ASCII.length(), CharStreams.exhaust(reader));
    assertEquals(-1, reader.read());
    assertEquals(0, CharStreams.exhaust(reader));

    Reader empty = new StringReader("");
    assertEquals(0, CharStreams.exhaust(empty));
    assertEquals(-1, empty.read());
  }

  public void testExhaust_readable() throws IOException {

    Reader reader = new StringReader(ASCII);
    assertEquals(ASCII.length(), CharStreams.exhaust(reader));
    assertEquals(-1, reader.read());
    assertEquals(0, CharStreams.exhaust(reader));

    Reader empty = new StringReader("");
    assertEquals(0, CharStreams.exhaust(empty));
    assertEquals(-1, empty.read());
  }

  public void testExhaust_readable() throws IOException {

- Fixed the bug that a `ServiceIPStaticSubrange` enabled cluster assigns duplicate IP addresses when the dynamic block is exhausted. ([#109928](https://github.com/kubernetes/kubernetes/pull/109928), [@tksm](https://github.com/tksm))

        sampling if it encounters an empty dataset. This preserves the sampling
        ratio throughout training. The prior behavior was to continue sampling,
        skipping over exhausted datasets, until all datasets are exhausted. By
        default, the original behavior (`stop_on_empty_dataset=False`) is
        preserved.
    *   Removed previously deprecated tf.data statistics related APIs:

  }

  /**
   * Returns a new source that writes bytes to [cacheRequest] as they are read by the source
   * consumer. This is careful to discard bytes left over when the stream is closed; otherwise we
   * may never exhaust the source stream and therefore not complete the cached response.
   */
  @Throws(IOException::class)
  private fun cacheWritingResponse(
    cacheRequest: CacheRequest?,
    response: Response,
  ): Response {

   * Returns the total number of chars read. Does not close the stream.
   *
   * @since 20.0
   */
  @CanIgnoreReturnValue
  public static long exhaust(Readable readable) throws IOException {
    long total = 0;
    long read;
    CharBuffer buf = createBuffer();
    while ((read = readable.read(buf)) != -1) {
      total += read;

considered a vulnerability in TensorFlow.

### Resource allocation

A denial of service caused by one model could bring down the entire server, but
we don't consider this as a vulnerability, given that models can exhaust
resources in many different ways and solutions exist to prevent this from
happening (e.g., rate limits, ACLs, monitors to restart broken servers).

### Model sharing

 * Fix: Support Shoutcast HTTP responses like `ICY 200 OK`.
 * Fix: Don't unzip if there isn't a response body.
 * Fix: Don't leak gzip streams on redirects.
 * Fix: Don't do DNS lookups on invalid hosts.
 * Fix: Exhaust the underlying stream when reading gzip streams.
 * Fix: Support the `PATCH` method.
 * Fix: Support request bodies on `DELETE` method.
 * Fix: Drop the `okhttp-protocols` module.

        // See https://github.com/google/guava/issues/3542
        Reader reader = new StringReader(cannotDecode);
        InputStream decodingStream = encoding.decodingStream(reader);
        try {
          ByteStreams.exhaust(decodingStream);
          fail("Expected DecodingException");
        } catch (DecodingException expected) {
          // Don't assert on the expectedMessage; the messages for exceptions thrown from the