Sonra tezgâha 🔀 gidip artık bitmiş olan ilk göreve ⏯ dönüyor, burgerleri alıyor, teşekkür ediyor ve masaya getiriyorsun. Tezgâhla etkileşimin bu adımı / görevi böylece bitiyor ⏹. Bu da yeni bir görev olan "burgerleri yemek" 🔀 ⏯ görevini oluşturuyor, ama "burgerleri almak" görevi tamamlandı ⏹.

### Paralel Burgerler { #parallel-burgers }

# 設定 Swagger UI { #configure-swagger-ui }

你可以設定一些額外的 [Swagger UI 參數](https://swagger.io/docs/open-source-tools/swagger-ui/usage/configuration/)。

要設定它們，建立 `FastAPI()` 應用物件時，或呼叫 `get_swagger_ui_html()` 函式時，傳入參數 `swagger_ui_parameters`。

`swagger_ui_parameters` 接受一個 dict，內容會直接傳給 Swagger UI 作為設定。

FastAPI 會把這些設定轉換成 **JSON**，以便與 JavaScript 相容，因為 Swagger UI 需要的是這種格式。

## 停用語法醒目提示 { #disable-syntax-highlighting }

        verify(pipe, times(1)).ensureTreeConnected();
        verify(tree, times(2)).acquire();
    }

    @Test
    @DisplayName("getInput/getOutput return cached streams when open; throw when closed")
    void getInputOutput_caching_and_closed() throws Exception {
        // Arrange: minimal stubs so stream construction works
        SmbPipeHandleImpl handle = newHandleWithBasicStubs(0, "\\\\pipe\\\\foo");

Bu durumda kullanılan `status_code`, `RedirectResponse` için varsayılan olan `307` olur.

---

Ayrıca `status_code` parametresini `response_class` parametresiyle birlikte kullanabilirsiniz:

{* ../../docs_src/custom_response/tutorial006c_py310.py hl[2,7,9] *}

### `StreamingResponse` { #streamingresponse }

Bir async generator veya normal generator/iterator (içinde `yield` olan bir fonksiyon) alır ve response body’yi stream eder.

        // Arrange
        SmbPipeOutputStream out = newStream();
        CIFSException boom = new CIFSException("open-fail");
        when(handle.ensureOpen()).thenThrow(boom);

        // Act + Assert
        CIFSException ex = assertThrows(CIFSException.class, out::ensureOpen);
        assertEquals("open-fail", ex.getMessage());
        verify(handle, times(1)).ensureOpen();
    }

    @Test

   * the source will contain the concatenated data from the streams of the underlying sources.
   *
   * <p>Only one underlying stream will be open at a time. Closing the concatenated stream will
   * close the open underlying stream.
   *
   * @param sources the sources to concatenate
   * @return a {@code ByteSource} containing the concatenated data
   * @since 15.0
   */

        }
        return b;
    }

    /**
     * Creates a range of dialect versions between min and max.
     *
     * @param min
     *            may be null for open end
     * @param max
     *            may be null for open end
     * @return range of versions
     */
    public static Set<DialectVersion> range(final DialectVersion min, final DialectVersion max) {

	// LDAP STS API.

	// Initialize LDAP credentials
	var ldapOpts []cr.LDAPIdentityOpt
	if sessionPolicyFile != "" {
		var policy string
		if f, err := os.Open(sessionPolicyFile); err != nil {
			log.Fatalf("Unable to open session policy file %s: %v", sessionPolicyFile, err)
		} else {
			bs, err := io.ReadAll(f)
			if err != nil {
				log.Fatalf("Error reading session policy file: %v", err)
			}

from fastapi import BackgroundTasks, FastAPI

app = FastAPI()


def write_notification(email: str, message=""):
    with open("log.txt", mode="w") as email_file:
        content = f"notification for {email}: {message}"
        email_file.write(content)


@app.post("/send-notification/{email}")
async def send_notification(email: str, background_tasks: BackgroundTasks):

# CI Pipeline Configuration

## Open & import the project

In your IDEA, `File` - `Open`, select `.teamcity/pom.xml`, `import as project`, and you'll have a Maven project.

## Project structure

Mostly a standard Maven project structure. The entry point `settings.kts` defines the TeamCity project.

There are 3 subprojects in the TeamCity project hierarchy: `Check` for Gradle builds, `Promotion` for releasing Gradle versions, `Util` for miscellaneous utilities.