import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.merge.MavenModelMerger;

/**
 * Handles profile injection into the model.
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Named
@Singleton
@Deprecated(since = "4.0.0")
@SuppressWarnings({"checkstyle:methodname"})

     */
    public FacetInfo() {
        // Default constructor
    }

    /**
     * Initializes the facet configuration from Fess configuration properties.
     * This method is called after dependency injection to load default facet settings.
     */
    @PostConstruct
    public void init() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        if (StringUtil.isNotBlank(fessConfig.getQueryFacetFields())) {

		return true
	default:
		return false
	}
}

// ExplainSQL generate SQL string with given parameters, the generated SQL is expected to be used in logger, execute it might introduce a SQL injection vulnerability
func ExplainSQL(sql string, numericPlaceholder *regexp.Regexp, escaper string, avars ...interface{}) string {
	var (
		convertParams func(interface{}, int)
		vars          = make([]string, len(avars))
	)

    "tflite_mobilenet_ssd",
    "tflite_mobilenet_ssd_quant",
    "tflite_mobilenet_ssd_quant_protobuf",
    "tflite_ovic_testdata",
    "vulkan_headers",
    "xctestrunner",
)

# TODO: Remove this injection once xprof is updated.
inject_repo(
    tf_third_party,
    com_github_nlohmann_json = "nlohmann_json_lib",
)

pybind11_internal_configure = use_extension(
    "@pybind11_bazel//:internal_configure.bzl",

```

There could be exceptions, but try to follow this convention.

Apply shared dependencies at the router level via `dependencies=[Depends(...)]`.

## Dependency Injection

See [the dependency injection reference](references/dependencies.md) for detailed patterns including `yield` with `scope`, and class dependencies.

 * allowing for URL-based client selection. Clients can be added with specific patterns
 * and optionally at specific positions in the processing order.</p>
 *
 * <p>This factory is typically initialized through dependency injection and can be
 * configured with initialization parameters that are passed to all registered clients.</p>
 *
 * <p>Features:</p>
 * <ul>
 *   <li>Pattern-based client mapping</li>
 *   <li>Ordered client registration</li>

    * 查詢參數
    * Cookies，等等。

加上來自 Starlette（包括 **session cookie**）的所有安全特性。

所有的這些都是可重複使用的工具和套件，可以輕鬆與你的系統、資料儲存（Data Stores）、關聯式資料庫（RDBMS）以及非關聯式資料庫（NoSQL）等等整合。

### 依賴注入（Dependency Injection） { #dependency-injection }

FastAPI 有一個使用簡單，但是非常強大的 <dfn title='也稱為「components」、「resources」、「services」、「providers」'><strong>依賴注入</strong></dfn> 系統。

* 依賴項甚至可以有自己的依賴，從而形成一個層級或**依賴圖**的結構。
* 所有**自動化處理**都由框架完成。

# Classes as Dependencies { #classes-as-dependencies }

Before diving deeper into the **Dependency Injection** system, let's upgrade the previous example.

## A `dict` from the previous example { #a-dict-from-the-previous-example }

In the previous example, we were returning a `dict` from our dependency ("dependable"):

{* ../../docs_src/dependencies/tutorial001_an_py310.py hl[9] *}

        }

        public WitnessNotification getLastNotification() {
            return lastNotification;
        }
    }

    /**
     * Test witness client that allows injection of mock RPC client
     */
    private static class TestWitnessClient extends WitnessClient {

        public TestWitnessClient(InetAddress witnessServer, CIFSContext context, WitnessRpcClient rpcClient) {

`.add_task()` 的引數包括：

* 要在背景執行的任務函式（`write_notification`）。
* 依序傳給任務函式的位置引數（`email`）。
* 要傳給任務函式的關鍵字引數（`message="some notification"`）。

## 相依性注入 { #dependency-injection }

在相依性注入系統中也可使用 `BackgroundTasks`。你可以在多個層級宣告 `BackgroundTasks` 型別的參數：路徑操作函式、相依項（dependable）、次級相依項等。

**FastAPI** 會在各種情況下正確處理並重用同一個物件，將所有背景任務合併，並在之後於背景執行：