this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their

      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their

When negotiating a connection to an HTTPS server, OkHttp needs to know which [TLS versions](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-tls-version/) and [cipher suites](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-cipher-suite/) to offer. A client that wants to maximize connectivity would include obsolete TLS versions and weak-by-design cipher suites. A strict client that wants to maximize security would be limited to only the latest TLS version and strongest cipher suites.

`images` 키가 어떻게 이미지 객체 리스트를 갖는지 주목하세요.

///

## 깊게 중첩된 모델

단독으로 깊게 중첩된 모델을 정의할 수 있습니다:

{* ../../docs_src/body_nested_models/tutorial007.py hl[9,14,20,23,27] *}

/// info | 정보

`Offer`가 선택사항 `Image` 리스트를 차례로 갖는 `Item` 리스트를 어떻게 가지고 있는지 주목하세요

///

## 순수 리스트의 본문

예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:

```Python

are uncommon and Kotlin callers may have incorrectly assigned the result to `List<String>`.


Code Cleanup
------------

IntelliJ and Android Studio offer a **Code Cleanup** feature that will automatically update
deprecated APIs with their replacements. Access this feature from the _Search Anywhere_ dialog
(double-press shift) or under the _Analyze_ menu.

/// info

👀 ❔ `images` 🔑 🔜 ✔️ 📇 🖼 🎚.

///

## 🙇 🐦 🏷

👆 💪 🔬 🎲 🙇 🐦 🏷:

{* ../../docs_src/body_nested_models/tutorial007.py hl[9,14,20,23,27] *}

/// info

👀 ❔ `Offer` ✔️ 📇 `Item`Ⓜ, ❔ 🔄 ✔️ 📦 📇 `Image`Ⓜ

///

## 💪 😁 📇

🚥 🔝 🎚 💲 🎻 💪 👆 ⌛ 🎻 `array` (🐍 `list`), 👆 💪 📣 🆎 🔢 🔢, 🎏 Pydantic 🏷:

```Python
images: List[Image]
```

      checkNotNull(subscribers);
      // requireNonNull accommodates Android's @RecentlyNullable annotation on ThreadLocal.get
      Queue<Event> queueForThread = requireNonNull(queue.get());
      queueForThread.offer(new Event(event, subscribers));

      if (!dispatching.get()) {
        dispatching.set(true);
        try {
          Event nextEvent;
          while ((nextEvent = queueForThread.poll()) != null) {

Você pode definir modelos profundamente aninhados de forma arbitrária:

{* ../../docs_src/body_nested_models/tutorial007.py hl[9,14,20,23,27] *}

/// info | informação

Note como `Offer` tem uma lista de `Item`s, que por sua vez possui opcionalmente uma lista `Image`s

///

## Corpos de listas puras

    SortedMap<Integer, AtomicInteger> replica = Maps.newTreeMap();
    assertTrue("Empty heap should be OK", mmHeap.isIntact());
    for (int i = 0; i < heapSize; i++) {
      int randomInt = random.nextInt();
      mmHeap.offer(randomInt);
      insertIntoReplica(replica, randomInt);
    }
    assertIntact(mmHeap);
    assertEquals(heapSize, mmHeap.size());
    int currentHeapSize = heapSize;

      int k, Comparator<? super T> comparator) {
    checkNonnegative(k, "k");
    checkNotNull(comparator);
    return Collector.of(
        () -> TopKSelector.<T>least(k, comparator),
        TopKSelector::offer,
        TopKSelector::combine,
        TopKSelector::topK,
        Collector.Characteristics.UNORDERED);
  }

  /**