private
    fun BaseGradleBuildType.getGradleTasks(): String {
        val runnerStep = this.steps.items.find { it.name == "GRADLE_RUNNER" } as GradleBuildStep
        return runnerStep.tasks!!
    }

    private
    fun BaseGradleBuildType.getGradleParams(): String {
        val runnerStep = this.steps.items.find { it.name == "GRADLE_RUNNER" } as GradleBuildStep
        return runnerStep.gradleParams!!
    }

    permissions:
      issues: write  # for actions/stale to close stale issues
      pull-requests: write  # for actions/stale to close stale PRs
    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v8
      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}

        steps {
            buildStep(
                ******@****.***arameters,
                ******@****.***rName,

jobs:
  build:
    name: Go ${{ matrix.go-version }} on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        go-version: [1.22.x]
        os: [ubuntu-latest]
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
          go-version: ${{ matrix.go-version }}
          check-latest: true
      - name: Build on ${{ matrix.os }}

Based on the description mentioned above, a MinIO engineer or security team
member investigates:

- Whether the reported vulnerability exists.
- The conditions that are required such that the vulnerability can be exploited.
- The steps required to fix the vulnerability.

In general, if the vulnerability exists in one of the MinIO code bases
itself - not in a code dependency - then MinIO will, if possible, fix

      contents: read
      issues: write
      pull-requests: read
    if: |
      github.repository == 'tensorflow/tensorflow' &&
      startsWith(github.event.head_commit.message, 'Rollback of PR #')
    steps:
      - name: Checkout repo
        uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
      - name: Create a new Github Issue

        param("env.GRADLE_PUBLISH_SECRET", "%plugin.portal.publish.secret%")
        param("env.PGP_SIGNING_KEY", "%pgpSigningKey%")
        param("env.PGP_SIGNING_KEY_PASSPHRASE", "%pgpSigningPassphrase%")
    }
    steps {
        gradleWrapper {
            name = "Publish Kotlin DSL Plugin"
            tasks = "clean :kotlin-dsl-plugins:publishPlugins --no-configuration-cache"
        }
    }

on:
  push:
    branches:
    - master
    - "*.x"
  pull_request:
    branches:
    - master
    - "*.x"
  workflow_dispatch:

jobs:
  build:
    runs-on: macos-14
    timeout-minutes: 15
    steps:
    - uses: actions/checkout@v4
    - name: Set up JDK 21
      uses: actions/setup-java@v4
      with:
        java-version: '21'
        distribution: 'temurin'
    - uses: actions/cache@v4
      with:

  AbstractIteratorTester(
      int steps,
      Iterable<E> elementsToInsertIterable,
      Iterable<? extends IteratorFeature> features,
      Iterable<E> expectedElements,
      KnownOrder knownOrder,
      int startIndex) {
    // periodically we should manually try (steps * 3 / 2) here; all tests but
    // one should still pass (testVerifyGetsCalled()).

For "synchronous" (contrary to "asynchronous") they commonly also use the term "sequential", because the computer / program follows all the steps in sequence before switching to a different task, even if those steps involve waiting.

### Concurrency and Burgers

This idea of **asynchronous** code described above is also sometimes called **"concurrency"**. It is different from **"parallelism"**.