import static java.util.concurrent.Executors.newCachedThreadPool;
import static java.util.concurrent.TimeUnit.MILLISECONDS;
import static java.util.concurrent.TimeUnit.NANOSECONDS;
import static java.util.concurrent.TimeUnit.SECONDS;
import static org.junit.Assert.assertThrows;

import com.google.common.base.Stopwatch;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.concurrent.ArrayBlockingQueue;

        // Replace info field
        Field infoField = msrpcShareGetInfo.getClass().getSuperclass().getDeclaredField("info");
        infoField.setAccessible(true);
        infoField.set(msrpcShareGetInfo, info502);

        // This should throw an ArrayIndexOutOfBoundsException when trying to read beyond array

                assertEquals(0, result, "Failed at position " + position);
            }
        }

        @Test
        @DisplayName("Should not read beyond structure size field")
        void testReadBytesWireFormatBoundary() throws SMBProtocolDecodingException {
            byte[] buffer = new byte[10];
            int bufferIndex = 0;

        }
      },
    )

    // This should fail the Call, but not cause an unhandled Exception bubbling up
    client.dispatcher.executorService.shutdownNow()

    val exception = callFailure.get(5, TimeUnit.SECONDS)
    assertThat(exception.message).isEqualTo("canceled due to java.lang.InterruptedException")
    assertThat(exception).isInstanceOf<IOException>()
    assertThat(exception.cause)
      .isNotNull()

    * Si on compare Uvicorn, il faut le comparer à d'autre applications de serveurs comme Daphne, Hypercorn, uWSGI, etc.
* **Starlette** :
    * A les seconde meilleures performances après Uvicorn. Starlette utilise en réalité Uvicorn. De ce fait, il ne peut qu’être plus "lent" qu'Uvicorn car il requiert l'exécution de plus de code.

# limitations under the License.
# ==============================================================================
source "${BASH_SOURCE%/*}/utilities/setup.sh"

# Record GPU count and CUDA version status
if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then
  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then

	if ((attempt >= max_wait_attempts)); then
		echo "Outputs remain inconsistent after $max_wait_attempts attempts. Exiting with error."
		exit 1
	else
		echo "Outputs are inconsistent. Waiting for $wait_interval seconds (attempt $attempt/$max_wait_attempts)."
		sleep $wait_interval
	fi

	((attempt++))
done

status=$(./mc admin group info site1 site-replication-issue-group --json | jq .groupStatus | tr -d '"')

        assertEquals(20, bytesRead);
        assertEquals(0x0010, response.getAttributes());
        // getLastWriteTime returns lastWriteTime (from readUTime) + serverTimeZoneOffset
        // readUTime multiplies the seconds value by 1000, and writeUTime divides milliseconds by 1000
        // So the round-trip should preserve the milliseconds value
        assertEquals(sampleTimeMillis + serverTimeZoneOffset, response.getLastWriteTime());

                        // Ignore
                    }
                }).start();
            }

            startLatch.countDown();
            assertTrue(endLatch.await(1, TimeUnit.SECONDS));
            assertTrue(response.isReceived());
        }

        @Test
        @DisplayName("Should handle concurrent error notifications")
        void testConcurrentError() throws InterruptedException {

* `datetime.time`:
    * 파이썬의 `datetime.time`.
    * 요청과 응답에서 `14:23:55.003`와 같은 ISO 8601 형식의 `str`로 표현됩니다.
* `datetime.timedelta`:
    * 파이썬의 `datetime.timedelta`.
    * 요청과 응답에서 전체 초(seconds)의 `float`로 표현됩니다.
    * Pydantic은 "ISO 8601 시차 인코딩"으로 표현하는 것 또한 허용합니다. <a href="https://docs.pydantic.dev/latest/concepts/serialization/#json_encoders" class="external-link" target="_blank">더 많은 정보는 이 문서에서 확인하십시오.</a>.
* `frozenset`: