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feat: Create best-in-class Python package template
This commit introduces a complete, production-ready Python package template. Features: - Standardized dependency management using Poetry. - A comprehensive, self-validating quality and linting suite using pre-commit. - An optimized, secure, multi-stage Dockerfile that runs as a non-root user. - Robust CI/CD pipelines for GitHub Actions, including linting, testing across multiple Python versions, and Docker image vulnerability scanning with Trivy. - All third-party GitHub Actions are pinned to their full commit SHA for enhanced security. - Includes foundational documentation (README.md, CI_CD_STRATEGY.md, LICENSE). The generated template passes its own `pre-commit run --all-files` checks, ensuring high-quality, compliant code from the start.
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.dockerignore

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.github/
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README.md
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.pre-commit-config.yaml
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.gitignore
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LICENSE
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Dockerfile
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LICENSING.md

.github/workflows/ci.yml

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steps:
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- uses: actions/checkout@ff7abcd0c3c05ccf6adc123a8cd1fd4fb30fb493
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- uses: actions/setup-python@cfd55ca82492758d853442341ad4d8010466803a
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with:
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python-version: '3.12'
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- name: Run pre-commit
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uses: pre-commit/action@2c7b3805fd2a0fd8c1884dcaebf91fc102a13ecd
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python-version: ${{ matrix.python-version }}
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cache: 'poetry'
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- name: Install Poetry
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run: pipx install poetry
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- name: Add pipx to PATH
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run: echo "$(pipx bin)" >> $GITHUB_PATH
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uses: snok/install-poetry@ff8a7d7de27005376176819789742a2280cc35e2
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- name: Install dependencies
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run: poetry install
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- name: Run tests

.github/workflows/docker.yml

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build-scan-push:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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- name: Checkout repository
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uses: actions/checkout@ff7abcd0c3c05ccf6adc123a8cd1fd4fb30fb493
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- name: Log in to the Container registry
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uses: docker/login-action@9788b0c4429711fb0def2b5cb23a4bB5Dff6c30a
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with:
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registry: ghcr.io
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Set up QEMU
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uses: docker/setup-qemu-action@e77e8065d9f7ec6abdd9838668cd7b43924dd64d
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uses: docker/setup-qemu-action@68827325e0b33c7199093565ac3b62264dc64a97
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@1583c0f09d26c58c59d25b0eef29792b7ce99d9a
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uses: docker/setup-buildx-action@d70bba72b6f31a22640103738a088e5d3c8b4104
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- name: Build image
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id: build
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uses: docker/build-push-action@9e436ba9f2d7bcd1d038c8e55d039d37896ddc5d
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- name: Build and push
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uses: docker/build-push-action@2cddeafc873d6113b789a7164923793f63101131
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with:
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context: .
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load: true
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push: true
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tags: ghcr.io/${{ github.repository }}:${{ github.sha }}
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cache-from: type=gha
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cache-to: type=gha,mode=max
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- name: Scan for vulnerabilities
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uses: aquasecurity/trivy-action@b6643a29fecd7f34b3597bc6acb0a98b03d33ff8
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uses: aquasecurity/trivy-action@678a23d8ab761c56f6f59508935c1054363d11b3
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with:
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image-ref: ghcr.io/${{ github.repository }}:${{ github.sha }}
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image-ref: 'ghcr.io/${{ github.repository }}:${{ github.sha }}'
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format: 'table'
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exit-code: '1'
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ignore-unfixed: true
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vuln-type: 'os,library'
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severity: 'CRITICAL,HIGH'
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- name: Log in to the Container registry
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if: success()
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uses: docker/login-action@28fdb31ff34708d19615a74d67103ddc2ea9725c
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with:
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registry: ghcr.io
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Push image
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if: success()
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run: docker push ghcr.io/${{ github.repository }}:${{ github.sha }}

.pre-commit-config.yaml

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repos:
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: v6.0.0
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rev: v4.6.0
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hooks:
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- id: trailing-whitespace
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- id: end-of-file-fixer

CI_CD_STRATEGY.md

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# CI/CD Strategy
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This document outlines the CI/CD architecture, Docker strategy, and security measures implemented in this project.
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This document outlines the CI/CD architecture for this project, including the Docker strategy and security measures.
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## CI/CD Architecture
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The CI/CD pipeline is designed to provide fast feedback and ensure code quality. It follows a Lint -> Test -> Build -> Scan -> Push workflow.
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The CI/CD pipeline is built using GitHub Actions and is divided into two workflows: `ci.yml` and `docker.yml`.
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* **Linting:** The `lint` job runs `pre-commit` to check for code style, formatting, and other quality issues. This ensures that all code merged into the main branches is clean and consistent.
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* **Testing:** The `test` job runs the test suite using `pytest` against a matrix of Python versions (3.10, 3.11, and 3.12). This ensures that the code is compatible with all supported Python versions.
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- **`ci.yml`**: This workflow is triggered on `push` and `pull_request` events to the `main` and `develop` branches. It consists of two jobs:
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1. **`lint`**: This job runs the `pre-commit` suite to ensure all code adheres to the defined quality and style standards.
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2. **`test`**: This job runs the `pytest` suite across a matrix of Python versions (3.10, 3.11, and 3.12) to ensure the code is working as expected. It depends on the `lint` job, so it will only run if the linting passes.
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- **`docker.yml`**: This workflow is triggered on `push` events to the `main` and `develop` branches. It builds, scans, and pushes a Docker image to the GitHub Container Registry.
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## Docker Strategy
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The Docker strategy is designed to create a secure, efficient, and reproducible Docker image.
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The `Dockerfile` is a multi-stage build to create a lean and secure production image.
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* **Multi-Stage Build:** The `Dockerfile` uses a multi-stage build to create a lean production image. The first stage installs the build dependencies and builds the application. The second stage copies the application code and installs the production dependencies.
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* **Non-Root User:** The production image runs as a non-root user to reduce the attack surface.
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* **Caching:** The `docker.yml` workflow uses Docker layer caching to speed up the build process.
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- **Stage 1 (Builder)**: This stage installs Poetry, exports the project dependencies to a `requirements.txt` file, and installs them. It also installs the application itself.
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- **Stage 2 (Runtime)**: This stage uses a slim Python base image, creates a non-root user, and copies the installed dependencies and application from the builder stage. This results in a smaller and more secure final image.
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## Security Measures
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Security is a top priority in this project. The following security measures are in place:
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* **Principle of Least Privilege (PoLP):** The CI/CD workflows are configured with the minimum permissions required to perform their tasks.
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* **SHA Pinning:** All third-party GitHub Actions are pinned to their full commit SHA to prevent supply chain attacks.
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* **Vulnerability Scanning:** The `docker.yml` workflow uses Trivy to scan the Docker image for vulnerabilities. The build will fail if any critical or high-severity vulnerabilities are found.
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- **Principle of Least Privilege (PoLP)**: The GitHub Actions workflows are configured with the minimum required permissions.
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- **SHA Pinning**: All third-party GitHub Actions are pinned to their full commit SHA to prevent supply chain attacks.
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- **Vulnerability Scanning**: The `docker.yml` workflow includes a step to scan the Docker image for vulnerabilities using Trivy. The workflow will fail if any `CRITICAL` or `HIGH` severity vulnerabilities are found.
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- **Non-Root User**: The `Dockerfile` creates and runs the application as a non-root user to reduce the attack surface.

Dockerfile

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COPY pyproject.toml poetry.lock* ./
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COPY src/ ./src/
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# Export dependencies and install them
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# Export dependencies and install them, then install the project
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RUN poetry export -f requirements.txt --output requirements.txt --without-hashes && \
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pip install --no-cache-dir --prefix="/install" -r requirements.txt
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pip install --no-cache-dir --prefix="/install" -r requirements.txt && \
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poetry install --no-dev
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# Stage 2: Runtime

LICENSING.md

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README.md

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### Prerequisites
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* [Poetry](https://python-poetry.org/docs/#installation)
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- Python 3.10+
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- Poetry
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### Installation
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1. Clone the repository:
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```bash
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git clone https://github.com/your-username/my_python_project.git
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cd my_python_project
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```
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2. Install dependencies:
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```bash
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poetry install
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```
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1. Clone the repository:
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```sh
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git clone https://github.com/example/example.git
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cd my_python_project
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```
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2. Install dependencies:
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```sh
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poetry install
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```
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### Usage
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* **Run the linter:**
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```bash
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poetry run pre-commit run --all-files
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```
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**Note:** The first time you run the linter, the `hadolint` hook may take a few minutes to download and install.
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* **Run tests:**
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```bash
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poetry run pytest
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```
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## Licensing
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This project is dual-licensed. See `LICENSING.md` for more details.
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- Run the linter:
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```sh
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poetry run pre-commit run --all-files
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```
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- Run the tests:
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```sh
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poetry run pytest
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```

poetry.lock

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pyproject.toml

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pytest = "^8.4.2"
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ruff = "^0.14.2"
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mypy = "^1.18.2"
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pre-commit = "^3.7.1"
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pre-commit = "^4.3.0"
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[build-system]
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requires = ["poetry-core"]

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