","document","w","Error","window","this","noGlobal","arr","getProto","Object","getPrototypeOf","slice","flat","array","call","concat","apply","push","indexOf","class2type","toString","hasOwn","hasOwnProperty","fnToString","ObjectFunctionString","support","isFunction","obj","nodeType","item","isWindow","preservedScriptAttributes","type","src","nonce","noModule","DOMEval","code","node","doc","i","val","script","createElement","text","getAttribute","setAttribute","head","appendChild","parentNode","...

    server.enqueue(builder.build())
    server.enqueue(builder.build())
    val inputStream = getResponse(newRequest("/")).body.byteStream()
    assertThat(inputStream.markSupported(), "This implementation claims to support mark().")
      .isFalse()
    inputStream.mark(5)
    assertThat(readAscii(inputStream, 5)).isEqualTo("ABCDE")
    assertFailsWith<IOException> {
      inputStream.reset()
    }

    assertThat(response.header("Content-Encoding")).isEqualTo("gzip")
    assertThat(response.body.source().readByteString()).isEqualTo(
      gzippedBody.snapshot(),
    )

    // The request did not offer gzip support.
    val recordedRequest = server.takeRequest()
    assertThat(recordedRequest.headers["Accept-Encoding"]).isNull()
  }

  @Test
  fun asyncResponseCanBeConsumedLater() {

            assertTrue(ctx.isMICAvailable(), "MIC available when established + integrity");

            assertTrue(ctx.isSupported(mech1), "mech1 supported");
            assertTrue(ctx.isPreferredMech(mech1), "first supported is preferred");
            assertArrayEquals(new ASN1ObjectIdentifier[] { mech1, mech2 }, ctx.getSupportedMechs(), "supported mechs");

 * IteratorTester#newTargetIterator()} method. This is because it's impossible to test an Iterator
 * without changing its state, so the tester needs a steady supply of fresh Iterators.
 *
 * <p>If your iterator supports modification through {@code remove()}, you may wish to override the
 * verify() method, which is called after each sequence and is guaranteed to be called

"POWER8", &supportsAES) } } // checkGenericIsExpect is called by the variable-time implementation to make // sure it is not used when hardware support is available. It shouldn't happen, // but this way it's more evidently correct. func checkGenericIsExpect() { if supportsAES { panic("crypto/aes: internal error: using generic implementation despite hardware support") } } type block struct { blockExpanded } func newBlock(c *Block, key []byte) *Block { switch len(key) { case aes128KeySize: c.rounds = aes128Rounds...

    DfsReferralData getDfsReferrals(CIFSContext ctx, String name, String targetHost, String targetDomain, int rn) throws CIFSException;

    /**
     * Checks if message signing is supported but not mandatory.
     *
     * @return whether signatures are supported but not required
     * @throws SmbException if an error occurs checking signing status
     */
    boolean isSigningOptional() throws SmbException;

    /**

Então, mesmo com o código acima que não usa Pydantic explicitamente, o FastAPI está usando Pydantic para converter essas dataclasses padrão para a versão do Pydantic.

E claro, ele suporta o mesmo:

* validação de dados
* serialização de dados
* documentação de dados, etc.

","document","w","Error","window","this","noGlobal","arr","getProto","Object","getPrototypeOf","slice","flat","array","call","concat","apply","push","indexOf","class2type","toString","hasOwn","hasOwnProperty","fnToString","ObjectFunctionString","support","isFunction","obj","nodeType","item","isWindow","preservedScriptAttributes","type","src","nonce","noModule","DOMEval","code","node","doc","i","val","script","createElement","text","getAttribute","setAttribute","head","appendChild","parentNode","...

```

como em:

{* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}

## Suporte de editor em todo canto

E você obtém suporte do editor em todos os lugares.

Mesmo para itens dentro de listas:

<img src="/img/tutorial/body-nested-models/image01.png">

Você não conseguiria este tipo de suporte de editor se estivesse trabalhando diretamente com `dict` em vez de modelos Pydantic.