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infra: onboard to use ruff #192

infra: onboard to use ruff

infra: onboard to use ruff #192

Workflow file for this run

# 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: Python package
on:
push:
branches:
- main
pull_request:
branches:
- main
- feature/**
permissions:
contents: read
jobs:
build:
runs-on: ${{ matrix.os }}
strategy:
matrix:
os: [ubuntu-latest, macos-latest, windows-latest]
python-version: ["3.9", "3.10", "3.11"]
steps:
- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
pip install tox
- name: Run unit tests
run: |
tox -e unit-tests
- name: Run AutoQASM example notebooks
run: |
pip install -e .
pip install notebook matplotlib
jupyter nbconvert --to html --execute --ExecutePreprocessor.kernel_name=python3 ./examples/1_Getting_started_with_AutoQASM.ipynb
jupyter nbconvert --to html --execute --ExecutePreprocessor.kernel_name=python3 ./examples/2_Expressing_classical_control_flow.ipynb
jupyter nbconvert --to html --execute --ExecutePreprocessor.kernel_name=python3 ./examples/3_1_Iterative_phase_estimation.ipynb
jupyter nbconvert --to html --execute --ExecutePreprocessor.kernel_name=python3 ./examples/3_2_magic_state_distillation.ipynb
- name: Upload coverage report to Codecov
uses: codecov/codecov-action@b9fd7d16f6d7d1b5d2bec1a2887e65ceed900238 # v4.6.0
with:
token: ${{ secrets.CODECOV_TOKEN }}
if: ${{ strategy.job-index }} == 0