if typ == simdjson.TypeNone {
							close(dst)
							break parser
						}
						t.Fatal("Unexpected type:", typ.String())
					}

					o, err := obj.Object(nil)
					if err != nil {
						t.Fatal(err)
					}
					dst <- *o
				default:
					t.Fatal("unexpected type:", typ.String())
				}
			}

}

// LimitResponse defines how to handle requests that can not be executed right now.
// +union
message LimitResponse {
  // `type` is "Queue" or "Reject".
  // "Queue" means that requests that can not be executed upon arrival
  // are held in a queue until they can be executed or a queuing limit
  // is reached.
  // "Reject" means that requests that can not be executed upon arrival
  // are rejected.
  // Required.

 - A bug was fixed in kubelet where exec probe timeouts were not respected. Ensure that pods relying on this behavior are updated to correctly handle probe timeouts.
  

    Closeables.closeQuietly((InputStream) null);
  }

  public void testCloseQuietlyNull_reader() {
    Closeables.closeQuietly((Reader) null);
  }

  // Set up a closeable to expect to be closed, and optionally to throw an
  // exception.
  private void setupCloseable(boolean shouldThrow) throws IOException {
    mockCloseable = mock(Closeable.class);
    if (shouldThrow) {

# "TFCI" may optionally be set to the name of an env-type file with TFCI
# variables in it, OR may be left empty if the user has already exported the
# relevant variables in their environment. Because of 'set -o allexport' above
# (which is equivalent to "set -a"), every variable in the file is exported
# for other files to use.
#
# Separately, if TFCI is set *and* there are also additional TFCI_ variables

        .url("https://api.imgur.com/3/image")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
      if (!response.isSuccessful) throw IOException("Unexpected code $response")

      println(response.body.string())
    }
  }

  companion object {
    /**
     * The imgur client ID for OkHttp recipes. If you're using imgur for anything other than running

	{"BETWEEN_64_KB_AND_256_KB", 64 * humanize.KiByte, 256*humanize.KiByte - 1},   // not exported, for support use only
	{"BETWEEN_256_KB_AND_512_KB", 256 * humanize.KiByte, 512*humanize.KiByte - 1}, // not exported, for support use only
	{"BETWEEN_512_KB_AND_1_MB", 512 * humanize.KiByte, humanize.MiByte - 1},       // not exported, for support use only

 * certificate is signed by the certificate that follows, and the last certificate is a trusted CA
 * certificate.
 *
 * Use of the chain cleaner is necessary to omit unexpected certificates that aren't relevant to
 * the TLS handshake and to extract the trusted CA certificate for the benefit of certificate
 * pinning.
 */
abstract class CertificateChainCleaner {

                  .ok());
  ASSERT_TRUE(worker_server2->Start().ok());

  TFE_ContextSetServerDef(context.get(), 0, serialized.data(),
                          serialized.size(), status.get());
  EXPECT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  BasicTestsForTwoDevices(context.get(),
                          "/job:worker/replica:0/task:1/device:CPU:0",

bool GetGraphDef(TF_Graph* graph, tensorflow::GraphDef* graph_def) {
  TF_Status* s = TF_NewStatus();
  TF_Buffer* buffer = TF_NewBuffer();
  TF_GraphToGraphDef(graph, buffer, s);
  bool ret = TF_GetCode(s) == TF_OK;
  EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  if (ret) ret = graph_def->ParseFromArray(buffer->data, buffer->length);
  TF_DeleteBuffer(buffer);
  TF_DeleteStatus(s);
  return ret;
}