func removeEmptyPort(host string) string {
	if hasPort(host) {
		return strings.TrimSuffix(host, ":")
	}
	return host
}

// Copied from http.NewRequest but implemented to ensure we reuse `url.URL` instance.
func (c *Client) newRequest(ctx context.Context, method string, u url.URL, body io.Reader) (*http.Request, error) {
	rc, ok := body.(io.ReadCloser)
	if !ok && body != nil {
		rc = io.NopCloser(body)
	}

Вы можете использовать весь функционал [Starlette](https://www.starlette.dev/) и в `FastAPI`.

///

### Шаг 2: создайте экземпляр `FastAPI` { #step-2-create-a-fastapi-instance }

{* ../../docs_src/first_steps/tutorial001_py310.py hl[3] *}

Здесь переменная `app` будет экземпляром класса `FastAPI`.

Это будет основная точка взаимодействия для создания всего вашего API.

        // Write completely empty file
        try (java.io.FileWriter fw = new java.io.FileWriter(testFile)) {
            // Write nothing
        }

        // Create a new CharMappingFile instance to ensure clean state
        CharMappingFile emptyMappingFile = new CharMappingFile("empty_test", testFile.getAbsolutePath(), new Date());
        emptyMappingFile.manager(dictionaryManager);

                    "Invalid query: " + queryContext.getQueryString(), e);
        }
    }

    /**
     * Gets the query parser instance for parsing search query strings.
     *
     * @return the configured query parser
     */
    protected QueryParser getQueryParser() {
        return ComponentUtil.getQueryParser();
    }

    /**

        mockQueryAddress.address =
                ((addrBytes[0] & 0xFF) << 24) | ((addrBytes[1] & 0xFF) << 16) | ((addrBytes[2] & 0xFF) << 8) | (addrBytes[3] & 0xFF);

        // Create NodeStatusResponse instance
        response = new NodeStatusResponse(mockConfig, mockQueryAddress);
    }

    @Test
    void constructor_shouldInitializeFields() throws Exception {
        // Verify configuration is set

        map.put("type", "heartbeat");
        map.put("instanceId", "test-instance");
        map.put("createdTime", 1000L);

        final String json = coordinatorHelper.toJson(map);
        assertNotNull(json);
        assertTrue(json.contains("\"type\":\"heartbeat\""));
        assertTrue(json.contains("\"instanceId\":\"test-instance\""));
        assertTrue(json.contains("\"createdTime\":1000"));
    }

    @Test

                .build());
        options.addOption(Option.builder(THREADS)
                .longOpt("threads")
                .hasArg()
                .desc("Thread count, for instance 4 (int) or 2C/2.5C (int/float) where C is core multiplied")
                .build());
        options.addOption(Option.builder(BUILDER)
                .longOpt("builder")
                .hasArg()

  }

  public void testPlatformThreadFactory_default() {
    ThreadFactory factory = MoreExecutors.platformThreadFactory();
    assertThat(factory).isNotNull();
    // Executors#defaultThreadFactory() may return a new instance each time.
    assertEquals(factory.getClass(), Executors.defaultThreadFactory().getClass());
  }

  public void testThreadRenaming() {
    Executor renamingExecutor =

                    "DH2C", // Durable handle reconnect V2
                    "ExtA", // Extended attributes
                    "SecD", // Security descriptor
                    "AppI" // App instance ID
            };

            for (String name : contextNames) {
                MockCreateContextRequest context = new MockCreateContextRequest(name);
                assertNotNull(context.getName());

接著你可以宣告一個變數為 `Person` 型別：

{* ../../docs_src/python_types/tutorial010_py310.py hl[6] *}

然後，你一樣會得到完整的編輯器支援：

<img src="/img/python-types/image06.png">

請注意，這表示「`one_person` 是類別 `Person` 的『實例（instance）』」。

並不是「`one_person` 就是名為 `Person` 的『類別（class）』」。

## Pydantic 模型 { #pydantic-models }

[Pydantic](https://docs.pydantic.dev/) 是一個用來做資料驗證的 Python 程式庫。

你以帶有屬性的類別來宣告資料的「形狀」。

而每個屬性都有其型別。