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Xarray datatree support #362

Xarray datatree support

Xarray datatree support #362

Workflow file for this run

# This workflows will upload a Python Package using Twine when a release is created
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
name: tests
on:
push:
branches:
- main
- npe2
tags:
- "v*" # Push events to matching v*, i.e. v1.0, v20.15.10
pull_request:
branches:
- main
- npe2
workflow_dispatch:
jobs:
test:
name: ${{ matrix.platform }} py${{ matrix.python-version }}
runs-on: ${{ matrix.platform }}
strategy:
matrix:
platform: [ubuntu-latest, macos-latest] # [ubuntu-latest, windows-latest, macos-latest]
python-version: ["3.9", "3.11"]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
# these libraries enable testing on Qt on linux
- uses: tlambert03/setup-qt-libs@v1
# strategy borrowed from vispy for installing opengl libs on windows
- name: Install Windows OpenGL
if: runner.os == 'Windows'
run: |
git clone --depth 1 https://github.com/pyvista/gl-ci-helpers.git
powershell gl-ci-helpers/appveyor/install_opengl.ps1
# note: if you need dependencies from conda, considering using
# setup-miniconda: https://github.com/conda-incubator/setup-miniconda
# and
# tox-conda: https://github.com/tox-dev/tox-conda
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install setuptools tox tox-gh-actions
# this runs the platform-specific tests declared in tox.ini
- name: Test with tox
uses: coactions/setup-xvfb@v1
with:
run: python -m tox
env:
PLATFORM: ${{ matrix.platform }}
- name: Coverage
uses: codecov/codecov-action@v4
- name: Archive figures generated during testing
if: always()
uses: actions/upload-artifact@v4
with:
name: plotting-results-${{ matrix.python-version }}-${{ matrix.platform }}
path: /home/runner/work/napari-spatialdata/napari-spatialdata/tests/plots/*
test_benchmarks:
name: test benchmarks
runs-on: ubuntu-latest
timeout-minutes: 60
env:
GIT_LFS_SKIP_SMUDGE: 1
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: actions/setup-python@v5
with:
python-version: 3.11
cache-dependency-path: pyproject.toml
- uses: tlambert03/setup-qt-libs@v1
- uses: octokit/[email protected]
# here we get hash of the latest release commit to compare with PR
id: latest_release
with:
route: GET /repos/{owner}/{repo}/releases/latest
owner: scverse
repo: napari-spatialdata
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: install dependencies
run: |
pip install --upgrade pip
pip install "asv[virtualenv]"
env:
PIP_CONSTRAINT: benchmarks/benchmark.txt
- name: asv machine
run: asv machine --yes
- name: Run benchmarks PR
uses: aganders3/headless-gui@v2
with:
run: |
asv run --show-stderr --quick --attribute timeout=300 HEAD^!
env:
PR: 1 # prevents asv from running very compute-intensive benchmarks
PIP_CONSTRAINT: ${{ github.workspace }}/benchmarks/benchmark.txt
- name: Run benchmarks latest release
# here we check if the benchmark on the latest release is not broken
uses: aganders3/headless-gui@v2
with:
run: |
asv run --show-stderr --quick --attribute timeout=300 ${{ fromJSON(steps.latest_release.outputs.data).target_commitish }}^!
env:
PR: 1 # prevents asv from running very compute-intensive benchmarks
PIP_CONSTRAINT: ${{ github.workspace }}/benchmarks/benchmark.txt