/**
     * Determine optimal polling interval based on directory activity and failure count
     *
     * Current strategy is based on failure count. In the future, this could be enhanced to consider:
     * - Recent event frequency (successful notifications)
     * - Time since last successful notification
     * - Events per unit time for more adaptive behavior
     *
     * @param handle notification handle

        </field>
        <field>
          <name>snapshotVersions</name>
          <version>1.1.0+</version>
          <description>Information for each sub-artifact available in this artifact snapshot. This is only the most recent SNAPSHOT for each unique extension/classifier combination.</description>
          <association>
            <type>SnapshotVersion</type>
            <multiplicity>*</multiplicity>
          </association>

{* ../../docs_src/python_types/tutorial001.py hl[2] *}


### Bewerk het

Dit is een heel eenvoudig programma.

Maar stel je nu voor dat je het vanaf nul zou moeten maken.

Op een gegeven moment zou je aan de definitie van de functie zijn begonnen, je had de parameters klaar...

Maar dan moet je “die methode die de eerste letter naar hoofdletters converteert” aanroepen.

<img src="/img/tutorial/generate-clients/image06.png">

In diesem Fall haben Sie:

* `ItemsService`
* `UsersService`

### Client-Methodennamen

Im Moment sehen die generierten Methodennamen wie `createItemItemsPost` nicht sehr sauber aus:

```TypeScript
ItemsService.createItemItemsPost({name: "Plumbus", price: 5})
```

Maintenant, imaginez que vous êtes en train de créer cette fonction, mais avec des annotations de type cette fois.

Au même moment que durant l'exemple précédent, vous essayez de déclencher l'auto-complétion et vous voyez :

<img src="/img/python-types/image02.png">

substr(0,b.length-7),this.municipalities)>-1)},errorMessage:"",errorMessageKey:"badCustomVal",municipalities:["ale","alingsås","alvesta","aneby","arboga","arjeplog","arvidsjaur","arvika","askersund","avesta","bengtsfors","berg","bjurholm","bjuv","boden","bollebygd","bollnäs","borgholm","borlänge","borås","botkyrka","boxholm","bromölla","bräcke","burlöv","båstad","dals-ed","danderyd","degerfors","dorotea","eda","ekerö","eksjö","emmaboda","enköpings","eskilstuna","eslövs","essunga","fagersta","fal...

   *
   * It is an error to call this method after the body has been consumed.
   *
   * **Warning:** this method loads the requested bytes into memory. Most applications should set
   * a modest limit on `byteCount`, such as 1 MiB.
   */
  @Throws(IOException::class)
  fun peekBody(byteCount: Long): ResponseBody {
    val peeked = body.source().peek()
    val buffer = Buffer()
    peeked.request(byteCount)

{* ../../docs_src/settings/app02_an_py39/main.py hl[6,12:13] *}

/// tip | Tipp

Wir werden das `@lru_cache` in Kürze besprechen.

Im Moment nehmen Sie an, dass `get_settings()` eine normale Funktion ist.

///

Und dann können wir das von der *Pfadoperation-Funktion* als Abhängigkeit einfordern und es überall dort verwenden, wo wir es brauchen.

It's called "asynchronous" because the computer / program doesn't have to be "synchronized" with the slow task, waiting for the exact moment that the task finishes, while doing nothing, to be able to take the task result and continue the work.

        testData.clear();
        testData.add(createRelatedQuery("test", new String[] { "updated" }, ""));
        mockBhv.setTestData(testData);

        relatedQueryHelper.update();
        // Give a moment for async execution
        try {
            Thread.sleep(100);
        } catch (InterruptedException e) {
            // ignore
        }

        results = relatedQueryHelper.getRelatedQueries("test");