```Python
Settings()
```

a new `Settings` object would be created, and at creation it would read the `.env` file again.

If the dependency function was just like:

```Python
def get_settings():
    return Settings()
```

we would create that object for each request, and we would be reading the `.env` file for each request. ⚠️

    }

    private static String getMessage(Throwable error, String def) {
        if (error == null) {
            return def;
        }
        String msg = error.getMessage();
        if (msg != null && !msg.isEmpty()) {
            return msg;
        }
        return getMessage(error.getCause(), def);
    }

    private ArtifactRepositoryLayout getLayout(String id) {

#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace {

using ::tensorflow::string;

void TestRemoteExecute(bool async) {
  tensorflow::ServerDef server_def = GetServerDef(2);

  // This server def has the task index set to 0.
  string serialized = server_def.SerializeAsString();

  server_def.set_task_index(1);

  std::unique_ptr<tensorflow::GrpcServer> worker_server;
  ASSERT_TRUE(tensorflow::GrpcServer::Create(

      placeholder: |
        from fastapi import FastAPI

        app = FastAPI()


        @app.get("/")
        def read_root():
            return {"Hello": "World"}
      render: python
    validations:
      required: true
  - type: textarea
    id: description
    attributes:
      label: Description
      description: |

                        name = null
                    } else {
                        snippet.end = lineNumber
                    }
                    return
                }
                def source = matchSource(line)
                if (source.matches) {
                    lastLanguage = source.language
                    lastLanguageLine = lineNumber
                    name = source.name

    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isCheckColumnDefOrderDiff: (NotRequired - Default false)
    #  Does it check differences of column-def order?
    #  (except added or deleted columns)
    #
    #; isCheckColumnDefOrderDiff = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

     *
     * @param data the report data containing a description to parse
     * @return accepted api changes reported upon, as a file
     */
    private static File getAcceptedApiChangesFile(RichReportData data) {
        def matcher = data.description =~ acceptedChangesRegex
        return new File(matcher[0][1])
    }

    private static RichReportData enrichReport(RichReportData data) {

      MockResponse
        .Builder()
        .body("def")
        .onResponseEnd(ShutdownConnection)
        .build(),
    )
    val call2 =
      client.newCall(
        Request
          .Builder()
          .url(server.url("/"))
          .build(),
      )
    val response2 = call2.execute()
    assertThat(response2.body.string()).isEqualTo("def")
    response2.close()
  }

  @Test

/// tip

因為 Pydantic 會在 **Rust** 端進行序列化，如果你有宣告回傳型別，效能會比未宣告時高很多。

///

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

你也可以使用一般的 `def` 函式（沒有 `async`），並同樣使用 `yield`。

FastAPI 會確保正確執行，不會阻塞事件迴圈。

由於此函式不是 async，正確的回傳型別是 `Iterable[Item]`：

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[28:31] hl[29] *}

### 無回傳型別 { #no-return-type }

**FastAPI** будет вызывать её каждый раз, когда получает запрос к URL «`/`» с операцией `GET`.

В данном случае это асинхронная (`async`) функция.

---

Вы также можете определить её как обычную функцию вместо `async def`:

{* ../../docs_src/first_steps/tutorial003_py310.py hl[7] *}

/// note | Примечание

Если вы не знаете, в чём разница, посмотрите [Асинхронность: *"Нет времени?"*](../async.md#in-a-hurry).

///