} else {
            buildType(PublishReleaseCandidate(branch))
            buildType(PublishFinalRelease(branch))
            buildType(MergeReleaseIntoMaster)
        }

        if (branch.isRelease || branch.isExperimental) {
            buildType(PublishNightlyDocumentation(branch))
        }

        params {
            password("env.ORG_GRADLE_PROJECT_gradleS3AccessKey", "%gradleS3AccessKey%")

        }

        features {
            enablePullRequestFeature()
            publishBuildStatusToGithub(model)
        }

        if (!VersionedSettingsBranch.fromDslContext().isExperimental) {
            triggers.vcs {
                quietPeriodMode = VcsTrigger.QuietPeriodMode.DO_NOT_USE

{
  "performanceTests" : [ {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslConfigurationPerformanceTest.configure",
    "groups" : [ {
      "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
      "coverage" : {
        "per_commit" : [ "linux", "macOs", "windows" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",

## Quick Start

[ {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.clean checkout",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 450
  } ]
}, {
  "scenario" : "org.gradle.performance.experiment.declarativedsl.DeclarativeDslFirstUsePerformanceTest.cold daemon",
  "durations" : [ {
    "testProject" : "largeEmptyMultiProjectDeclarativeDsl",
    "linux" : 422
  } ]

ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source...

Você nem precisa verificar se o token existe para retornar um erro. Você pode ter certeza de que, se sua função for executada, ela terá uma `str` nesse token.

Você já pode experimentar na documentação interativa:

<img src="/img/tutorial/security/image03.png">

Ainda não estamos verificando a validade do token, mas isso já é um começo.

## Recapitulando { #recap }

### Configuration cache enabled by default

The build of Gradle enables the configuration cache by default as a dogfooding experiment.

Most tasks that are used to build Gradle support the configuration cache, but some don't. For example, building the documentation currently requires you to disable the configuration cache.

     * wrapper around j.u.HashSet, which has built-in flooding protection. MAX_RUN_MULTIPLIER was
     * determined experimentally to match our desired probability of false positives.
     */
    // NB: yes, this is surprisingly high, but that's what the experiments said was necessary
    // Raising this number slows the worst-case contains behavior, speeds up hashFloodingDetected,

Por exemplo, você pode querer experimentar:

* <a href="https://speakeasy.com/editor?utm_source=fastapi+repo&utm_medium=github+sponsorship" class="external-link" target="_blank">Speakeasy</a>