Om dat te doen, maak je het vlak voor het programma zelf aan, op dezelfde regel:

<div class="termy">

```console
// Maak een omgevingsvariabele MY_NAME in de regel voor deze programma-aanroep
$ MY_NAME="Wade Wilson" python main.py

// Nu kan het de omgevingsvariabele lezen

/// tip | Dica

        // Initial update - should mark as changed
        entry.updateChild(childName, 1024L, 1000L, false, 0x20, 500L, 800L);
        assertTrue(entry.hasChanges());

        // Clear changes to test next scenario
        entry.markComplete();
        assertFalse(entry.hasChanges());

        // Update with same values - should not mark as changed (no actual change)

  static void clear(Buffer b) {
    b.clear();
  }

  static void flip(Buffer b) {
    b.flip();
  }

  static void limit(Buffer b, int limit) {
    b.limit(limit);
  }

  static void mark(Buffer b) {
    b.mark();
  }

  static void position(Buffer b, int position) {
    b.position(position);
  }

  static void reset(Buffer b) {
    b.reset();
  }

  private Java8Compatibility() {}

    }

    /**
     * Validate that the constructor masks the supplied value to its
     * lowest 8 bits (NdrShort incorrectly masks to 8 bits even though it's a short).
     */
    @ParameterizedTest
    @ValueSource(ints = { 0, 1, 255, -1, 256, 65535 })
    void constructorMasksValue(int input) {
        NdrShort ns = new NdrShort(input);
        // NdrShort masks to 0xFF (8 bits) in its constructor
        int expected = input & 0xFF;

        final Tuple3<String, String, String> task = new Tuple3<>(getName(), thumbnailId, path);
        if (logger.isDebugEnabled()) {
            logger.debug("Create thumbnail task: {}", task);
        }
        return task;
    }

    /**
     * Generates a thumbnail image and saves it to the specified output file.
     *

   * MoreExecutors#newDirectExecutorService} and subject to the same constraints.
   *
   * <p>Although all tasks are immediately executed in the thread that submitted the task, this
   * {@code ExecutorService} imposes a small locking overhead on each task submission in order to
   * implement shutdown and termination behavior.
   *
   * <p>Because of the nature of single-thread execution, the methods {@code scheduleAtFixedRate}

🔬 🔢 🔜 🔁, 👆 💪 🔜 🤙 (& `await`) 🎏 `async` 🔢 ↖️ ⚪️➡️ 📨 📨 👆 FastAPI 🈸 👆 💯, ⚫️❔ 👆 🔜 🤙 👫 🙆 🙆 👆 📟.

/// tip

🚥 👆 ⚔ `RuntimeError: Task attached to a different loop` 🕐❔ 🛠️ 🔁 🔢 🤙 👆 💯 (✅ 🕐❔ ⚙️ <a href="https://stackoverflow.com/questions/41584243/runtimeerror-task-attached-to-a-different-loop" class="external-link" target="_blank">✳ MotorClient</a>) 💭 🔗 🎚 👈 💪 🎉 ➰ 🕴 🏞 🔁 🔢, ✅ `'@app.on_event("startup")` ⏲.

                }
            }, Thread.currentThread().getName() + "-pdf");
            task.setDaemon(isDaemonThread);
            task.start();
            task.join(timeout);
            if (!done.get()) {
                for (int i = 0; i < 100 && !done.get(); i++) {
                    task.interrupt();
                    ThreadUtil.sleep(100L);
                }

  private val cleanupQueue: TaskQueue = taskRunner.newQueue()
  private val cleanupTask =
    object : Task("$okHttpName ConnectionPool connection closer") {
      override fun runOnce(): Long = closeConnections(System.nanoTime())
    }

  private fun AddressState.scheduleOpener() {
    queue.schedule(
      object : Task("$okHttpName ConnectionPool connection opener") {