Add pytest GitHub Action workflow

[Copilot]

Adds automated pytest execution via GitHub Actions on push and pull requests.

Implementation

• Workflow file: .github/workflows/pytest.yml
• Python versions: 3.11, 3.12, 3.13, 3.14 (matrix strategy with fail-fast: false)
• Package manager: uv via astral-sh/setup-uv@v7 with caching enabled
• Dependencies: Installs via uv sync --locked --extra dev
• Test execution: uv run pytest

Key differences from reference implementation

• No working-directory parameter (root-level project vs. subdirectory structure)
• Python version range aligned with pyproject.toml requirement (>=3.11)

Original prompt

---

This section details on the original issue you should resolve

<issue_title>写一个GitHub action来做pytest</issue_title>
<issue_description>参考另一个项目的做法：

name: egg-pytest
permissions:
contents: read

on:

• pull_request
• push

env:
PYTHON_LATEST_VERSION: '3.14'

jobs:
pytest:
runs-on: ubuntu-latest

strategy:
  fail-fast: false
  matrix:
    python-version: ['3.11', '3.12', '3.13', '3.14']

steps:
  - uses: actions/checkout@v6

  - uses: astral-sh/setup-uv@v7
    with:
      python-version: ${{ matrix.python-version }}
      enable-cache: true

  - name: dependencies
    working-directory: egg
    run: uv sync --locked --extra dev

  - name: pytest
    working-directory: egg
    run: uv run pytest</issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes 写一个GitHub action来做pytest #13

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Pull request overview

This PR adds automated pytest execution via GitHub Actions to run tests on every push and pull request. The workflow uses uv for fast dependency management and tests across multiple Python versions using a matrix strategy.

Key changes:

• Added pytest workflow with Python version matrix (3.11, 3.12, 3.13, 3.14)
• Configured uv for dependency installation with caching enabled
• Set up automated test execution with fail-fast: false to test all Python versions

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[Copilot]

The PYTHON_LATEST_VERSION environment variable is defined but never used anywhere in the workflow. Consider removing this unused variable or utilizing it if it was intended for a specific purpose.