Use uv instead of pip

[hagenw]

Use uv to manage the package development.

Changes include:

• Replacing tests/requirements.txt and docs/requirements.txt by a dev dependency group in pyproject.toml (which is automatically installed by uv)
• Removing requirements.txt
• Update CONTRIBUTING.rst to use uv run for testing and building docs
• Use uv build instead of python -m build inside the Github Action to publish the package

Summary by Sourcery

Replace direct pip and Python commands with uv for dependency management, development tasks, and CI workflows.

Enhancements:

• Consolidate test and documentation dependencies into a 'dev' group in pyproject.toml managed by uv
• Remove standalone requirements.txt files in favor of uv sync

Build:

• Use uv build instead of python -m build for wheel and source distribution creation

CI:

• Add uv setup steps and replace pip install commands with uv sync across all GitHub Actions workflows
• Replace direct command invocations with uv run for tasks like building, testing, and linting

Documentation:

• Update CONTRIBUTING.rst to use uv run for testing and building documentation

Tests:

• Use uv sync to install dependencies and uv run pytest in test workflows

Chores:

• Delete requirements.txt, docs/requirements.txt, and tests/requirements.txt

[sourcery-ai]

Reviewer's Guide

This PR replaces the existing pip-based development setup with uv by consolidating requirements into a dev group in pyproject.toml, removing standalone requirements files, updating CONTRIBUTING instructions, and refactoring all CI workflows to install and invoke tasks via uv.

Class diagram for dependency management configuration changes

classDiagram
    class requirements_txt {
        - test dependencies
        - doc dependencies
    }
    class tests_requirements_txt {
        - test dependencies
    }
    class docs_requirements_txt {
        - doc dependencies
    }
    class pyproject_toml {
        + dependency-groups: dev
    }
    requirements_txt <.. pyproject_toml : migrated
    tests_requirements_txt <.. pyproject_toml : migrated
    docs_requirements_txt <.. pyproject_toml : migrated
    requirements_txt : removed
    tests_requirements_txt : removed
    docs_requirements_txt : removed
    pyproject_toml : dev group added
    pyproject_toml : manages all dev dependencies

Loading

File-Level Changes

Change	Details	Files
Migrate dependency management to uv	Delete requirements.txt, docs/requirements.txt, and tests/requirements.txt Add a [dependency-groups.dev] section in pyproject.toml listing test and doc dependencies	pyproject.toml requirements.txt docs/requirements.txt tests/requirements.txt
Refactor CI workflows to use uv	Insert astral-sh/setup-uv@v4 steps to initialize uv Replace pip install blocks with uv sync Swap python build commands for uv build variants Use uv run sphinx-build for documentation Invoke pre-commit via uvx instead of pip	.github/workflows/publish.yml .github/workflows/doc.yml .github/workflows/test.yml .github/workflows/linter.yml
Update contributing guide for uv usage	Replace instructions to run tests and build docs with uv run commands in CONTRIBUTING.rst	CONTRIBUTING.rst

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[sourcery-ai]

Hey @hagenw - I've reviewed your changes - here's some feedback:

• You need to add pre-commit to your dev dependency group in pyproject.toml so that uvx pre-commit commands actually work.
• Consider specifying which dependency groups to sync in your CI (e.g. uv sync --group dev) to avoid installing unnecessary deps in production or publish workflows.
• You might speed up your CI by caching the virtualenv or pip cache between runs instead of re-syncing all dependencies every job.

Prompt for AI Agents

Please address the comments from this code review:
## Overall Comments
- You need to add pre-commit to your dev dependency group in pyproject.toml so that `uvx pre-commit` commands actually work.
- Consider specifying which dependency groups to sync in your CI (e.g. `uv sync --group dev`) to avoid installing unnecessary deps in production or publish workflows.
- You might speed up your CI by caching the virtualenv or pip cache between runs instead of re-syncing all dependencies every job.

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