Style and coverage tests workflow (IBM/differential-privacy-library)

The Style and coverage tests workflow from IBM/differential-privacy-library, explained and optimized by Latchkey.

What it does

This is the Style and coverage tests workflow from the IBM/differential-privacy-library repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.

Below, Latchkey shows a faster, safer version produced by its optimization engine.

The workflow

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions

name: Style and coverage tests

on:
  workflow_dispatch:
  push:
    branches: ['**']
  pull_request:
    branches: [ main ]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - uses: actions/setup-python@v4
      with:
        python-version: '3.11'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        python -m pip install pylint==2.15.2 pycodestyle==2.9.1 pytest-cov
        python -m pip install .
        python -m pip list
    - name: Codecov test
      run: |
        pytest --cov-report=xml --cov=diffprivlib --cov-append
    - name: Codecov upload
      uses: codecov/codecov-action@v3
    - name: pycodestyle
      run: pycodestyle --max-line-length=120 diffprivlib
    - name: pylint
      run: pylint --fail-under=9.5 -rn diffprivlib

The same workflow, on Latchkey

Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.

# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
 
name: Style and coverage tests
 
on:
  workflow_dispatch:
  push:
    branches: ['**']
  pull_request:
    branches: [ main ]
 
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true
 
jobs:
  build:
    timeout-minutes: 30
    runs-on: latchkey-small
    steps:
    - uses: actions/checkout@v3
    - uses: actions/setup-python@v4
      with:
        cache: 'pip'
        python-version: '3.11'
    - name: Install dependencies
      run: |
        python -m pip install --upgrade pip
        python -m pip install pylint==2.15.2 pycodestyle==2.9.1 pytest-cov
        python -m pip install .
        python -m pip list
    - name: Codecov test
      run: |
        pytest --cov-report=xml --cov=diffprivlib --cov-append
    - name: Codecov upload
      uses: codecov/codecov-action@v3
    - name: pycodestyle
      run: pycodestyle --max-line-length=120 diffprivlib
    - name: pylint
      run: pylint --fail-under=9.5 -rn diffprivlib
 

What changed

• Run on Latchkey managed runners with one line (runs-on), which apply the fixes below automatically and self-heal transient failures. This example uses latchkey-small; pick the runner size that fits the job.
• Cancel superseded runs when a branch or PR gets a newer push.
• Cache dependency installs on the setup step so they are served from cache.
• Add a job timeout so a hung step cannot burn hours of runner time.

1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.

What Latchkey heals here

This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:

• Dependency installs

This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.

Actions used in this workflow