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Add export methods for PIL and popular array libraries to the ScreenShot object #653

Add export methods for PIL and popular array libraries to the ScreenShot object

Add export methods for PIL and popular array libraries to the ScreenShot object #653

Workflow file for this run

name: Tests
on:
push:
branches:
- main
pull_request:
workflow_dispatch:
permissions:
contents: write
pull-requests: write
concurrency:
group: ${{ github.ref }}-${{ github.workflow }}-${{ github.event_name }}-${{ github.event_name != 'pull_request' && github.sha || '' }}
cancel-in-progress: true
jobs:
quality:
name: Quality
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/setup-python@v6
with:
python-version: "3.x"
cache: pip
- name: Install dependencies
run: |
python -m pip install -U pip
python -m pip install -e '.[dev]'
- name: Check
run: ./check.sh
documentation:
name: Documentation
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/setup-python@v6
with:
python-version: "3.x"
cache: pip
- name: Install dependencies
run: |
python -m pip install -U pip
python -m pip install -e '.[docs]'
- name: Build
run: |
sphinx-build -d docs docs/source docs_out --color -W -bhtml
tests:
name: "${{ matrix.os.emoji }} ${{ matrix.python.name }}"
runs-on: ${{ matrix.os.runs-on }}
strategy:
fail-fast: false
matrix:
os:
- emoji: 🐧
name: linux
runs-on: [ubuntu-latest]
- emoji: 🍎
name: macos
runs-on: [macos-latest]
- emoji: 🪟
name: windows
runs-on: [windows-latest]
python:
- name: CPython 3.10
runs-on: "3.10"
- name: CPython 3.11
runs-on: "3.11"
- name: CPython 3.12
runs-on: "3.12"
- name: CPython 3.13
runs-on: "3.13"
- name: CPython 3.14
runs-on: "3.14-dev"
steps:
- uses: actions/checkout@v7
- uses: actions/setup-python@v6
with:
python-version: ${{ matrix.python.runs-on }}
cache: pip
check-latest: true
- name: Install dependencies
run: |
python -m pip install -U pip
python -m pip install -e '.[dev,tests]'
# We don't include PyTorch or TensorFlow in the dependencies. This is partly because they are large and not
# needed for most users. But it's mostly because the right way to install them depends a lot on the user's
# needs (such as GPU support) and OS.
# The PyPI versions of PyTorch for Linux include CUDA for Linux, so we use an index with a CPU-only version there.
# For the other OSs, the PyPI versions are CPU-only.
- name: Install PyTorch (Linux CPU)
if: matrix.os.name == 'linux'
run: python -m pip install torch --index-url https://download.pytorch.org/whl/cpu
- name: Install PyTorch (macOS/Windows)
if: matrix.os.name != 'linux'
run: python -m pip install torch
# TensorFlow stable (as of this June 2026) only supports up to Python 3.12; see
# https://www.tensorflow.org/install/pip#software_requirements
- name: Install TensorFlow (Python 3.10-3.12)
if: contains(fromJSON('["3.10", "3.11", "3.12"]'), matrix.python.runs-on)
run: python -m pip install tensorflow
- name: Tests (GNU/Linux)
if: matrix.os.name == 'linux'
run: xvfb-run python -m pytest
- name: Tests (macOS, Windows)
if: matrix.os.name != 'linux'
run: python -m pytest
automerge:
name: Automerge
runs-on: ubuntu-latest
needs: [documentation, quality, tests]
if: ${{ github.actor == 'dependabot[bot]' }}
steps:
- name: Automerge
run: gh pr merge --auto --rebase "$PR_URL"
env:
PR_URL: ${{github.event.pull_request.html_url}}
GITHUB_TOKEN: ${{secrets.GITHUB_TOKEN}}