eachQueue@ for (queue in readyQueues) {
        val candidate = queue.futureTasks[0]
        val candidateDelay = maxOf(0L, candidate.nextExecuteNanoTime - now)

        when {
          // Compute the delay of the soonest-executable task.
          candidateDelay > 0L -> {
            minDelayNanos = minOf(candidateDelay, minDelayNanos)
            continue@eachQueue
          }

Vous pouvez en apprendre plus dans la documentation du dépôt GithHub.

## Full Stack FastAPI MongoDB

...viendra surement plus tard, suivant le temps que j'ai.  😅 🎉

## Modèles d'apprentissage automatique avec spaCy et FastAPI

     *
     * @return the registration timeout
     */
    long getWitnessRegistrationTimeout();

    /**
     * Gets the witness reconnect delay in milliseconds.
     *
     * @return the reconnect delay
     */
    long getWitnessReconnectDelay();

    /**
     * Gets whether witness service discovery is enabled.
     *
     * @return true if discovery is enabled
     */

r]\n        }\n      })\n\n    config = {\n      ...this.constructor.Default,\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    }\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n...

        assertEquals(0, buffer[1]);
    }

    @Test
    @DisplayName("Test writeBytesWireFormat with long path")
    void testWriteBytesWireFormatLongPath() {
        String longPath = "very\\long\\path\\to\\some\\deeply\\nested\\file\\in\\directory\\structure.txt";
        request = new Smb2CreateRequest(mockConfig, longPath);

        byte[] buffer = new byte[2048];
        int bytesWritten = request.writeBytesWireFormat(buffer, 0);

    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:
    * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.

    private TestCondition(Lock lock, Condition condition) {
      this.lock = lock;
      this.condition = condition;
    }

    static TestCondition createAndSignalAfter(long delay, TimeUnit unit) {
      TestCondition testCondition = create();

      ScheduledExecutorService scheduledPool = newScheduledThreadPool(1);

        assertEquals(1.0, noRetryPolicy.getBackoffMultiplier());
        assertFalse(noRetryPolicy.isExponentialBackoff());
    }

    @Test
    @DisplayName("Should limit retry delay to maximum")
    void testMaxDelayLimit() {
        // Given
        SmbOperationException.RetryPolicy policy = new SmbOperationException.RetryPolicy(10, 1000, 5000, 2.0, true);

    boolean longWait = NANOSECONDS.toSeconds(thread.timeSpentBlocked) >= 5;
    // Count how long it actually took to return; we'll accept any number between the expected delay
    // and the approximate actual delay, to be robust to variance in thread scheduling.
    char overWaitNanosFirstDigit =
        Long.toString(thread.timeSpentBlocked - MILLISECONDS.toNanos(longWait ? 5000 : 3000))
            .charAt(0);

    boolean longWait = NANOSECONDS.toSeconds(thread.timeSpentBlocked) >= 5;
    // Count how long it actually took to return; we'll accept any number between the expected delay
    // and the approximate actual delay, to be robust to variance in thread scheduling.
    char overWaitNanosFirstDigit =
        Long.toString(thread.timeSpentBlocked - MILLISECONDS.toNanos(longWait ? 5000 : 3000))
            .charAt(0);