}).catch((err) => {
			console.error(err);
		});

		async function run() {
			console.clear();
			await go.run(inst);
			inst = await WebAssembly.instantiate(mod, go.importObject); // reset instance
		}
	</script>

	<button onClick="run();" id="runButton" disabled>Run</button>
</body>

   * <p>By default this method does nothing.
   */
  protected void startUp() throws Exception {}

  /**
   * Run the service. This method is invoked on the execution thread. Implementations must respond
   * to stop requests. You could poll for lifecycle changes in a work loop:
   *
   * <pre>
   *   public void run() {
   *     while ({@link #isRunning()}) {
   *       // perform a unit of work
   *     }
   *   }

on:
  pull_request_target:
    types:
      - labeled
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  job:

          java-version: '17'
      - name: Install Groovy
        run: sudo apt-get install groovy
      - name: List PR commits
        run: |
          git log --pretty=format:"%H" ${{ github.event.pull_request.base.sha }}..${{ github.event.pull_request.head.sha }} > pr_commits.txt
      - name: Check PR commits
        id: run_check
        run: |
          groovy .github/workflows/CheckBadMerge.groovy pr_commits.txt > output.txt 2>&1

TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
system, Kokoro, schedules our CI jobs by combining a build script with a file
from the `envs` directory that is filled with configuration options:

-   Nightly jobs (Run nightly on the `nightly` branch)
    -   Uses `wheel.sh`, `libtensorflow.sh`, `code_check_full.sh`
-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`

          @JvmStatic
          fun main(args: Array<String>) {
            UploadProgress().run()
          }
        }

        private val client = OkHttpClient()

        @Throws(Exception::class)
        fun run() {
          val progressListener = object : ProgressListener {
            private var firstUpdate = true

## `fastapi run` { #fastapi-run }

Executing `fastapi run` starts FastAPI in production mode by default.

By default, **auto-reload** is disabled. It also listens on the IP address `0.0.0.0`, which means all the available IP addresses, this way it will be publicly accessible to anyone that can communicate with the machine. This is how you would normally run it in production, for example, in a container.

        uses: actions/setup-java@v5
        with:
          distribution: 'zulu'
          java-version: 17

      - name: Setup Gradle
        uses: gradle/actions/setup-gradle@v4

      - name: Run Container Tests

      with:
        output: ' '
    - name: Report list of changed files
      run: |
        echo Changed files: ${{ steps.get_file_changes.outputs.files }}
    - name: Set up Python 3.9
      uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0
      with:
        python-version: "3.9"
    - name: Install Python dependencies
      run: |
        python -m pip install --upgrade pip

        TestLocking t = new TestLocking();
        t.url = "smb://test/file.txt";
        t.numIter = 0; // Set to 0 so run() exits immediately

        // Run the method
        t.run();

        // Verify numComplete was incremented
        assertEquals(1, t.numComplete, "numComplete should be incremented after run");
    }

    @Nested
    @DisplayName("Argument parsing")
    class ArgumentParsing {

        @Test