*/
    public static final String FILE_ENCODING = System.getProperty("file.encoding");

    /**
     * <code>line.separator</code> システムプロパティ。例えばMac OS Xなら
     * <code>&quot;\n&quot;</code>
     */
    public static final String LINE_SEPARATOR = System.getProperty("line.separator");

    /**
     * <code>path.separator</code> システムプロパティ。例えばMac OS Xなら
     * <code>&quot;:&quot;</code>
     */

                                            {
                                                "name": "Baz",
                                                "price": "thirty five point four",
                                            },
                                        ],
                                    }
                                )
                                | IsDict(

///

```Python hl_lines="9"
{!> ../../docs_src/header_params/tutorial003.py!}
```

////

If you communicate with that *path operation* sending two HTTP headers like:

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

The response would be like:

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

## Recap

* Lire ce que j’écris (ou me suivre) sur <a href="https://dev.to/tiangolo" class="external-link" target="_blank">**Dev.to**</a> ou <a href="https://medium.com/@tiangolo" class="external-link" target="_blank">**Medium**</a>.
    * Lire d'autres idées, articles, et sur les outils que j'ai créés.
    * Suivez-moi pour lire quand je publie quelque chose de nouveau.

## Tweeter sur **FastAPI**

    val handshake = makeRequest(client)

    assertThat(handshake.cipherSuite).isIn(*expectedModernTls12CipherSuites.toTypedArray())

    // Probably something like
    // TLS_AES_128_GCM_SHA256
    // TLS_AES_256_GCM_SHA384
    // TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384
    // TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256
    // TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384

## Pydantic Models for Input and Output

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

### Model for Input

If you use this model as an input like here:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:15] hl[14] *}

}

func parseMountFrom(file io.Reader) (mountInfos, error) {
	mounts := mountInfos{}
	scanner := bufio.NewReader(file)
	for {
		line, err := scanner.ReadString('\n')
		if err == io.EOF {
			break
		}

		fields := strings.Fields(line)
		if len(fields) != expectedNumFieldsPerLine {
			// ignore incorrect lines.
			continue
		}

		// Freq should be an integer.

 * Futures#transform(ListenableFuture, com.google.common.base.Function, Executor) Futures.transform}
 * (or {@link FluentFuture#transform(com.google.common.base.Function, Executor)
 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.

                new InputStreamReader(this.getClass().getClassLoader().getResourceAsStream("suggest_indices/suggest_settings.json")));) {

            String line;
            while ((line = br.readLine()) != null) {
                sb.append(line);
            }
        }
        return sb.toString().replaceAll(Pattern.quote("${fess.dictionary.path}"), dictionaryPath);
    }

* Из загруженного файла можно получить метаданные.
* Он реализует <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` интерфейс.