/**
 * Resolves a POM from its coordinates. During the build process, the
 * {@link org.apache.maven.model.building.ModelBuilder} will add any relevant repositories to the model resolver. In
 * other words, the model resolver is stateful and should not be reused across multiple model building requests.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")

  if (dev->strict_scope_placement && *requested_placement == '\0') {
    TF_SetStatus(s, TF_INTERNAL,
                 "Ops must be placed on the device explicitly, or their inputs "
                 "first copied to other devices.");
    return;
  }
  TFE_Context* context = TFE_OpGetContext(original_op, s);
  if (TF_GetCode(s) != TF_OK) return;
  const char* operation_name = TFE_OpGetName(original_op, s);

the offsets being used to access them are correct.
</p>

<h2 id="architectures">Architecture-specific details</h2>

<p>
It is impractical to list all the instructions and other details for each machine.
To see what instructions are defined for a given machine, say ARM,
look in the source for the <code>obj</code> support library for

PID_DIR=${packaging.fess.pid.dir}

# End of variables that can be overwritten in $DEFAULT

# overwrite settings from default file
if [ -f "$DEFAULT" ]; then
	. "$DEFAULT"
fi

# Define other required variables
PID_FILE="$PID_DIR/$NAME.pid"
DAEMON=$FESS_HOME/bin/fess
DAEMON_OPTS="-d -p $PID_FILE --default.path.conf=$CONF_DIR --default.path.home=$FESS_HOME --default.path.logs=$LOG_DIR --default.path.data=$DATA_DIR"

app.add_middleware(MiddlewareB)
```

이 경우 실행 순서는 다음과 같습니다:

* **요청**: MiddlewareB → MiddlewareA → route

* **응답**: route → MiddlewareA → MiddlewareB

이러한 스태킹 동작은 미들웨어가 예측 가능하고 제어 가능한 순서로 실행되도록 보장합니다.

## 다른 미들웨어 { #other-middlewares }

다른 미들웨어에 대한 더 많은 정보는 나중에 [숙련된 사용자 안내서: 향상된 미들웨어](../advanced/middleware.md)에서 확인할 수 있습니다.

你可能記得，請求體也會用 Pydantic 模型宣告。

這裡因為你使用了 `Depends`，**FastAPI** 不會混淆。

///

/// check | 檢查

這個依賴系統的設計讓我們可以有不同的依賴（不同的 "dependables"），都回傳 `User` 模型。

我們不受限於只能有一個能回傳該類型資料的依賴。

///

## 其他模型 { #other-models }

現在你可以在*路徑操作函式*中直接取得目前使用者，並在**依賴注入**層處理安全機制，使用 `Depends`。

而且你可以為安全需求使用任意模型或資料（本例中是 Pydantic 模型 `User`）。

但你不受限於某個特定的資料模型、類別或型別。

想在模型中只有 `id` 與 `email` 而沒有任何 `username`？當然可以。你可以用同樣的工具達成。

///

/// warning | 警告

如果您的应用程序依赖于生命周期事件， `AsyncClient` 将不会触发这些事件。为了确保它们被触发，请使用 [florimondmanca/asgi-lifespan](https://github.com/florimondmanca/asgi-lifespan#usage) 中的 `LifespanManager` 。

///

## 其他异步函数调用 { #other-asynchronous-function-calls }

由于测试函数现在是异步的，因此除了在测试中向 FastAPI 应用程序发送请求之外，您现在还可以调用（和使用 `await` 等待）其他 `async` 异步函数，就和您在代码中的其他任何地方调用它们的方法一样。

/// tip | 提示

// Figure out a way to avoid this.
// TODO(srbs): Should ZerosLike check-fail instead of returning nullptr?
class TapeTensor {
 public:
  explicit TapeTensor(AbstractTensorHandle* handle);
  TapeTensor(const TapeTensor& other);
  ~TapeTensor();

  int64_t GetID() const;
  tensorflow::DataType GetDType() const;

  AbstractTensorHandle* ZerosLike() const;

  AbstractTensorHandle* GetHandle() const;

 private:

   *       happens all the time in normal conditions (i.e., android) the OS must make a tradeoff
   *       between paging memory and killing other processes - so allocating a gigantic buffer and
   *       then sequentially accessing it could result in other processes dying. This is solvable
   *       via madvise(2), but that obviously doesn't exist in java.

 * Fix: Drop `Content-Length` header when redirected from POST to GET.
 * Fix: Correctly read cached header entries with malformed header names.
 * Fix: Do not directly support any authentication schemes other than "Basic".
 * Fix: Respect read timeouts on recycled connections.
 * Fix: Transmit multiple cookie values as a single header with delimiter.
 * Fix: Ensure `null` is never returned from a connection's `getHeaderFields()`.