\":\"linear\"},\"labels\":{\"show\":true,\"truncate\":100},\"title\":{}}],\"valueAxes\":[{\"id\":\"ValueAxis-1\",\"name\":\"LeftAxis-1\",\"type\":\"value\",\"position\":\"left\",\"show\":true,\"style\":{},\"scale\":{\"type\":\"linear\",\"mode\":\"normal\"},\"labels\":{\"show\":true,\"rotate\":0,\"filter\":false,\"truncate\":100},\"title\":{\"text\":\"Query Count\"}}],\"seriesParams\":[{\"show\":\"true\",\"type\":\"histogram\",\"mode\":\"stacked\",\"data\":{\"label\":\"Query Count\",\"id\":\"1\"}...

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

Note that the parameters inside the function have their natural data type, and you can, for example, perform normal date manipulations, like:

        // Test default max reading num
        assertEquals(10, converter.getMaxReadingNum());
    }

    @Test
    public void testInitNormal() throws IOException {
        // Test normal initialization
        converter.init();
        assertTrue(testConverter.isInitialized());
    }

    @Test
    public void testInitMultipleTimes() throws IOException {
        // Test multiple initialization calls

              "type": "linear"
            },
            "showPoints": "auto",
            "spanNulls": false,
            "stacking": {
              "group": "A",
              "mode": "normal"
            },
            "thresholdsStyle": {
              "mode": "off"
            }
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",

Estas funciones están allí (en lugar de usar simplemente las clases directamente) para que tu editor no marque errores sobre sus tipos.

De esa forma puedes usar tu editor y herramientas de programación normales sin tener que agregar configuraciones personalizadas para omitir esos errores.

    private static final Logger log = LoggerFactory.getLogger(WitnessClient.class);

    // Polling and backoff constants (in ms)
    private static final long MAX_POLL_INTERVAL = 5000; // Normal polling: max 5 seconds
    private static final long MAX_ERROR_BACKOFF = 30000; // Error polling: max 30 seconds
    private static final long BASE_POLL_INTERVAL = 1000;
    private static final long BASE_ERROR_DELAY = 1000;

        // Make it accessible to test it throws no exception
        constructor.setAccessible(true);
        constructor.newInstance();
    }

    @Test
    public void testCreateSuggestTextId() {
        // Test normal text
        String text = "test text";
        String id = SuggestUtil.createSuggestTextId(text);
        assertNotNull(id);

# GraphQL { #graphql }

As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI.

You can combine normal FastAPI *path operations* with GraphQL on the same application.

/// tip

**GraphQL** solves some very specific use cases.

It has **advantages** and **disadvantages** when compared to common **web APIs**.

Isso significa que no lugar do processo normal de seus usuários enviarem requisições para a sua API, é a **sua API** (ou sua aplicação) que poderia **enviar requisições para o sistema deles** (para a API deles, a aplicação deles).

Isso normalmente é chamado de **webhook**.

//
//	x, ok := <-c
//
// will also set ok to false for a closed and empty channel.
func close(c chan<- Type)

// The panic built-in function stops normal execution of the current
// goroutine. When a function F calls panic, normal execution of F stops
// immediately. Any functions whose execution was deferred by F are run in
// the usual way, and then F returns to its caller. To the caller G, the