TF_Graph();

  mutable tensorflow::mutex mu;
  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<std::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each

    return added;
  }

  /**
   * Drains the queue as {@linkplain #drain(BlockingQueue, Collection, int, Duration)}, but with a
   * different behavior in case it is interrupted while waiting. In that case, the operation will
   * continue as usual, and in the end the thread's interruption status will be set (no {@code
   * InterruptedException} is thrown).
   *
   * @param q the blocking queue to be drained

namespace {

struct LoggingDevice {
  std::string device_name;
  std::string underlying_device;
  // Set to true whenever a TensorHandle is copied onto the device
  bool* arrived_flag;
  // Set to true whenever an operation is executed
  bool* executed_flag;
  // If true, only explicit op placements are accepted. If false, uses
  // type-based dispatch.
  bool strict_scope_placement;
};

struct LoggedTensor {

これらの場合、型宣言でリストを使用して定義することができます。

重複したヘッダーのすべての値をPythonの`list`として受け取ることができます。

例えば、複数回出現する可能性のある`X-Token`のヘッダを定義するには、以下のように書くことができます:

{* ../../docs_src/header_params/tutorial003_an_py310.py hl[9] *}

その*path operation*と通信する際に、次のように2つのHTTPヘッダーを送信する場合:

```
X-Token: foo
X-Token: bar
```

レスポンスは以下のようになります:

```JSON
{
    "X-Token values": [
        "bar",
        "foo"
    ]
}
```

     * @param outputFile the file where the processed thumbnail will be saved
     * @return the result of the image processing operation
     * @throws IOException if an error occurs during image reading or writing operations
     */
    protected Result saveImage(final ImageInputStream input, final File outputFile) throws IOException {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

/// note | 注意

請注意，在此情況下，從 body 取得的 `item` 是可選的，因為它的預設值是 `None`。

///

## 多個 Body 參數 { #multiple-body-parameters }

在前一個範例中，路徑操作（path operation）會期望一個包含 `Item` 屬性的 JSON 主體，例如：

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

但你也可以宣告多個 Body 參數，例如 `item` 與 `user`：

     * standard OpenSearch queries with response processing and document highlighting.
     */
    public DefaultSearcher() {
        super();
    }

    /**
     * Performs a search operation using the specified query and parameters.
     *
     * @param query the search query string
     * @param params the search request parameters
     * @param userBean the optional user bean for access control

```Python
some_variable: PlaneItem | CarItem
```

But if we put that in the assignment `response_model=PlaneItem | CarItem` we would get an error, because Python would try to perform an **invalid operation** between `PlaneItem` and `CarItem` instead of interpreting that as a type annotation.

## List of models { #list-of-models }

The same way, you can declare responses of lists of objects.

{* ../../docs_src/stream_data/tutorial001_py310.py ln[1:23] hl[20,23] *}

FastAPI 會如實將每個資料區塊交給 `StreamingResponse`，不會嘗試將其轉換為 JSON 或其他格式。

### 非 async 路徑操作函式 { #non-async-path-operation-functions }

你也可以使用一般的 `def` 函式（沒有 `async`），並以相同方式使用 `yield`。

{* ../../docs_src/stream_data/tutorial001_py310.py ln[26:29] hl[27] *}

### 不需要型別註解 { #no-annotation }

對於串流二進位資料，其實不需要宣告回傳型別註解。

/**
 * Helper class for indexing operations in the Fess search engine.
 * This class provides functionality for sending documents to the search engine,
 * managing document lifecycle operations (create, update, delete), and handling
 * thumbnail processing during indexing.
 *
 * <p>The IndexingHelper manages bulk operations, handles retries on failures,
 * and provides various query-based operations for document management.