또한, 기본 값을 `None`으로 설정해 본문 매개변수를 선택사항으로 선언할 수 있습니다.

```Python hl_lines="19-21"
{!../../docs_src/body_multiple_params/tutorial001.py!}
```

/// note | "참고"

이 경우에는 본문으로 부터 가져온 `	item`은 기본값이 `None`이기 때문에, 선택사항이라는 점을 유의해야 합니다.

///

## 다중 본문 매개변수

이전 예제에서 보듯이, *경로 작동*은 아래와 같이 `Item` 속성을 가진 JSON 본문을 예상합니다:

```JSON
{
    "name": "Foo",

      new ImmutableClassToInstanceMap<>(ImmutableMap.<Class<?>, Object>of());

  /**
   * Returns an empty {@code ImmutableClassToInstanceMap}.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   *
   * @since 19.0
   */
  @SuppressWarnings("unchecked")
  public static <B> ImmutableClassToInstanceMap<B> of() {
    return (ImmutableClassToInstanceMap<B>) EMPTY;
  }

      value: String,
    ) = commonHeader(name, value)

    /**
     * Adds a header with [name] and [value]. Prefer this method for multiply-valued
     * headers like "Cookie".
     *
     * Note that for some headers including `Content-Length` and `Content-Encoding`,
     * OkHttp may replace [value] with a header derived from the request body.
     */
    open fun addHeader(
      name: String,

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* 기타.

```Python hl_lines="17"
{!../../docs_src/response_model/tutorial001.py!}
```

/// note | "참고"

`response_model`은 "데코레이터" 메소드(`get`, `post`, 등)의 매개변수입니다. 모든 매개변수들과 본문(body)처럼 *경로 작동 함수*가 아닙니다.

///

Pydantic 모델 어트리뷰트를 선언한 것과 동일한 타입을 수신하므로 Pydantic 모델이 될 수 있지만, `List[Item]`과 같이 Pydantic 모델들의 `list`일 수도 있습니다.

 * rangeSet.add(Range.openClosed(0, 0)); // empty range; {[1, 10], [11, 20)}
 * rangeSet.remove(Range.open(5, 10)); // splits [1, 10]; {[1, 5], [10, 10], [11, 20)}
 * }</pre>
 *
 * <p>Note that the behavior of {@link Range#isEmpty()} and {@link Range#isConnected(Range)} may not
 * be as expected on discrete ranges. See the Javadoc of those methods for details.
 *

```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="6  47  54-55  58-59  68-74"
{!> ../../docs_src/security/tutorial004_py310.py!}
```

////

/// note

🚥 👆 ✅ 🆕 (❌) 💽 `fake_users_db`, 👆 🔜 👀 ❔ #️⃣ 🔐 👀 💖 🔜: `"$2b$12$EixZaYVK1fsbw1ZfbX3OXePaWxn96p36WQoeG6Lruj3vjPGga31lW"`.

///

## 🍵 🥙 🤝

🗄 🕹 ❎.

✍ 🎲 ㊙ 🔑 👈 🔜 ⚙️ 🛑 🥙 🤝.

#include "tensorflow/core/util/device_name_utils.h"

namespace tensorflow {
class EagerExecutor;
class EagerContext;
class CustomDevice;
class CustomDeviceOpHandler;
class Device;

// LINT.IfChange
// Note: Keep in sync with exported copy of enum in eager/c_api.h.
enum ContextDevicePlacementPolicy {
  // Running operations with input tensors on the wrong device will fail.
  DEVICE_PLACEMENT_EXPLICIT = 0,

    }
    return (int) value;
  }

  /**
   * Compares the two specified {@code int} values. The sign of the value returned is the same as
   * that of {@code ((Integer) a).compareTo(b)}.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated; use the
   * equivalent {@link Integer#compare} method instead.
   *
   * @param a the first {@code int} to compare

-#  endif
-# endif
-
-__STRING_INLINE size_t __strspn_c1 (const char *__s, int __accept);
-__STRING_INLINE size_t
-__strspn_c1 (const char *__s, int __accept)
-{
-  size_t __result = 0;
-  /* Please note that __accept never can be '\0'.  */
-  while (__s[__result] == __accept)
-    ++__result;
-  return __result;
-}
-
-__STRING_INLINE size_t __strspn_c2 (const char *__s, int __accept1,
-				    int __accept2);

 * all threads. Note, however, that it does not guarantee fairness.
 *
 * <p>Rate limiters are often used to restrict the rate at which some physical or logical resource
 * is accessed. This is in contrast to {@link java.util.concurrent.Semaphore} which restricts the
 * number of concurrent accesses instead of the rate (note though that concurrency and rate are