## Lista de modelos { #list-of-models }

Da mesma forma, você pode declarar respostas de listas de objetos.

Para isso, use o padrão Python `typing.List` (ou simplesmente `list` no Python 3.9 e superior):

{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}

 */
// NOTE: If you update this, please also change .idea/scopes/Gradle_public_API.xml
object PublicApi {
    val includes = listOf(
        "org/gradle/*",
        "org/gradle/api/**",
        "org/gradle/authentication/**",
        "org/gradle/build/**",
        "org/gradle/buildconfiguration/**",
        "org/gradle/buildinit/**",

        .build()

    certificatePinner.check("example.com", listOf(certA1.certificate))
  }

  @Test fun successfulFindMatchingPins() {
    val certificatePinner =
      CertificatePinner
        .Builder()
        .add("first.com", certA1Sha256Pin, certB1Sha256Pin)
        .add("second.com", certC1Sha256Pin)
        .build()

    val expectedPins =
      listOf(
        Pin("first.com", certA1Sha256Pin),

    companion object {
        private
        val EXPECTED_PACKAGE_LIST = listOf(
            "com/acme",
            "com/foo/internal",
            "javax/servlet/http",
            "org/gradle/fileevents"
        )

        private
        val DEFAULT_EXCLUDES_FOR_TEST = listOf(
            "org/gradle",
            "java",
            "javax/xml",
            "javax/inject",

              override fun get(
                uri: URI,
                requestHeaders: Map<String, List<String>>,
              ) = mapOf(
                "COOKIE" to listOf("Bar=bar"),
                "cooKIE2" to listOf("Baz=baz"),
              )
            },
          ),
        ).build()
    server.enqueue(MockResponse())
    get(server.url("/"))
    val request = server.takeRequest()

Você pode usar **anotações de tipo** da mesma forma que usaria para dados de entrada em **parâmetros** de função, você pode usar modelos Pydantic, listas, dicionários, valores escalares como inteiros, booleanos, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

O FastAPI usará este tipo de retorno para:

* **Validar** os dados retornados.

): List<PerformanceScenario> {
    val performanceTestTypes =
        if (performanceTestSpec.performanceTestType == PerformanceTestType.FLAKINESS_DETECTION) {
            listOf(PerformanceTestType.PER_COMMIT, PerformanceTestType.PER_DAY)
        } else {
            listOf(performanceTestSpec.performanceTestType)
        }
    return performanceTestConfigurations.flatMap { configuration ->
        configuration.groups

      Adapters.BIT_STRING.withTag(tag = 1L).optional(),
      Adapters.BIT_STRING.withTag(tag = 2L).optional(),
      extension.asSequenceOf().withExplicitBox(tag = 3).optional(defaultValue = listOf()),
      decompose = {
        listOf(
          it.version,
          it.serialNumber,
          it.signature,
          rdnSequence to it.issuer,
          it.validity,
          rdnSequence to it.subject,

    // Make sure we have enough connection options to permit retries.
    dnsResults =
      listOf(
        localhostIpv4,
        localhostIpv6,
        TestUtil.UNREACHABLE_ADDRESS_IPV4.address,
      )
    serverIpv4.protocols = listOf(Protocol.H2_PRIOR_KNOWLEDGE)
    serverIpv6.protocols = listOf(Protocol.H2_PRIOR_KNOWLEDGE)

    // Yield the first IP address so the second IP address completes first.

labels.plugin_list=Lista wtyczek
labels.pathmap_list=Lista mapowania ścieżek
labels.log_file_list=Lista plików dziennika
labels.labeltype_list=Lista typów etykiet
labels.key_match_list=Lista dopasowania kluczy
labels.job_log_list=Lista dzienników zadań
labels.group_list=Lista grup
labels.file_config_list=Lista konfiguracji plików
labels.file_auth_list=Lista uwierzytelniania plików