# a pull request then we can checkout the head.
        fetch-depth: 2

    # If this run was triggered by a pull request event, then checkout
    # the head of the pull request instead of the merge commit.
    - run: git checkout HEAD^2
      if: ${{ github.event_name == 'pull_request' }}

    # Initializes the CodeQL tools for scanning.
    - name: Initialize CodeQL

FROM golang:1.24-alpine as build

ARG TARGETARCH
ARG RELEASE

ENV GOPATH=/go
ENV CGO_ENABLED=0

# Install curl and minisign
RUN apk add -U --no-cache ca-certificates && \
    apk add -U --no-cache curl && \
    go install aead.dev/minisign/cmd/minisign@v0.2.1

# Download minio binary and signature files
RUN curl -s -q https://dl.min.io/server/minio/hotfixes/linux-${TARGETARCH}/archive/minio.${RELEASE} -o /go/bin/minio && \

	}

	baseTestCases := []TestSuiteCommon{
		// Init and run test on ErasureSD backend with signature v4.
		{serverType: "ErasureSD", signer: signerV4},
		// Init and run test on ErasureSD backend, with tls enabled.
		{serverType: "ErasureSD", signer: signerV4, secure: true},
		// Init and run test on Erasure backend.
		{serverType: "Erasure", signer: signerV4},
		// Init and run test on ErasureSet backend.

name: FastAPI People

on:
  schedule:
    - cron: "0 14 1 * *"
  workflow_dispatch:
    inputs:
      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:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    permissions:

          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - run: uv pip install -r requirements-github-actions.txt
      - uses: actions/download-artifact@v5
        with:
          name: coverage-html
          path: htmlcov
          github-token: ${{ secrets.GITHUB_TOKEN }}
          run-id: ${{ github.event.workflow_run.id }}
      # Try 5 times to upload coverage to smokeshow

		}).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`