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.github/workflows/ci.yml

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name: CI/CD Pipeline
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name: CI Pipeline
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on:
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push:
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branches: [ main, develop ]
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branches: [ main ]
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pull_request:
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branches: [ main, develop ]
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branches: [ main ]
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jobs:
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lint-and-test:
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test:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: ["3.10", "3.11", "3.12"]
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python ${{ matrix.python-version }}
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python-version }}
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python-version: "3.11"
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cache: 'pip'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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pip install pytest pytest-cov flake8 black
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- name: Check code formatting with Black
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run: |
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black --check src/ --diff
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- name: Lint with flake8
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run: |
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flake8 src/ --count --select=E9,F63,F7,F82 --show-source --statistics
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flake8 src/ --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
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continue-on-error: true
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- name: Verify imports
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run: |
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python -c "import sys; sys.path.insert(0, 'src'); import app; print('✓ Imports successful')"
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- name: Check model files exist
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run: |
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if [ ! -f "models/model.h5" ]; then
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echo "Error: model.h5 not found"
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exit 1
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fi
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if [ ! -f "models/scaler.pkl" ]; then
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echo "Error: scaler.pkl not found"
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exit 1
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fi
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if [ ! -f "models/label_encoder_gender.pkl" ]; then
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echo "Error: label_encoder_gender.pkl not found"
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exit 1
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fi
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if [ ! -f "models/onehot_encoder_geo.pkl" ]; then
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echo "Error: onehot_encoder_geo.pkl not found"
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exit 1
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fi
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echo "✓ All model files present"
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- name: Run tests
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run: |
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pytest tests/ -v --cov=src --cov-report=xml --cov-report=term-missing || true
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- name: Upload coverage reports
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uses: codecov/codecov-action@v4
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if: matrix.python-version == '3.11'
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with:
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file: ./coverage.xml
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fail_ci_if_error: false
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build-test:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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cache: 'pip'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -r requirements.txt
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- name: Test Streamlit app can start
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run: |
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timeout 10 streamlit run src/app.py --server.headless=true --server.port=8501 &
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sleep 5
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curl -f http://localhost:8501/_stcore/health || exit 1
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pkill -f streamlit || true
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continue-on-error: true
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security-scan:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- name: Install safety
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run: |
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pip install safety
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- name: Run safety check
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run: |
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safety check --file requirements.txt || true
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continue-on-error: true
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test -f models/model.h5 && test -f models/scaler.pkl && \
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test -f models/label_encoder_gender.pkl && test -f models/onehot_encoder_geo.pkl && \
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echo "✓ All model files present" || (echo "❌ Missing model files" && exit 1)
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README.md

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```
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ANN/
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├── .github/
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│ └── workflows/
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│ └── ci.yml # GitHub Actions CI/CD pipeline
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├── data/ # Data files
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│ ├── Churn_Modelling.csv # Training dataset
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│ └── realtime_example.csv # Example format for real-time predictions
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│ └── prediction.ipynb # Notebook for making predictions
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├── src/ # Source code
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│ └── app.py # Streamlit web application
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├── tests/ # Test files
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│ ├── __init__.py
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│ └── test_app.py # Unit tests for the application
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├── .flake8 # Flake8 linting configuration
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├── .gitignore # Git ignore rules
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├── Makefile # Make commands for development
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├── pytest.ini # Pytest configuration
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├── pyproject.toml # Python project configuration
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├── requirements.txt # Python dependencies
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├── requirements-dev.txt # Development dependencies
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└── README.md # This file
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```
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## Dependencies
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- **tensorflow** (2.15.0): Deep learning framework
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### Production Dependencies
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- **tensorflow** (>=2.20.0): Deep learning framework
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- **pandas** (>=2.0.0): Data manipulation
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- **numpy** (>=1.24.0): Numerical computing
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- **scikit-learn** (>=1.3.0): Machine learning utilities
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- **streamlit** (1.40.0): Web application framework
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- **streamlit** (>=1.40.0): Web application framework
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- **matplotlib** (>=3.7.0): Plotting library
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- **tensorboard** (>=2.15.0): TensorFlow visualization
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- **tensorboard** (>=2.20.0): TensorFlow visualization
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### Development Dependencies
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- **pytest** (>=7.4.0): Testing framework
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- **pytest-cov** (>=4.1.0): Coverage reporting
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- **flake8** (>=6.1.0): Linting
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- **black** (>=23.11.0): Code formatting
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- **safety** (>=2.3.0): Security scanning
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## CI/CD Pipeline
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This project includes a GitHub Actions CI/CD pipeline that automatically:
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- **Lints code** using flake8
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- **Checks code formatting** using Black
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- **Runs tests** using pytest with coverage reporting
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- **Verifies imports** and model file existence
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- **Tests on multiple Python versions** (3.10, 3.11, 3.12)
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- **Performs security scans** on dependencies
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### Running CI Checks Locally
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You can run the same checks locally using the Makefile:
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```bash
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# Install development dependencies
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make install-dev
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# Run all CI checks
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make ci
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# Or run individual checks
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make test # Run tests
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make lint # Run linters
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make format # Format code
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make format-check # Check formatting without modifying
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```
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### GitHub Actions Workflow
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The CI pipeline runs automatically on:
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- Push to `main` or `develop` branches
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- Pull requests to `main` or `develop` branches
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View the workflow file at `.github/workflows/ci.yml`
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## Development
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### Running Tests
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```bash
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# Install development dependencies
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pip install -r requirements-dev.txt
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# Run tests
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pytest tests/ -v
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# Run tests with coverage
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pytest tests/ -v --cov=src --cov-report=html
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```
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### Code Quality
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```bash
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# Format code
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black src/ tests/
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# Check formatting
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black --check src/ tests/
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# Lint code
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flake8 src/
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```
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## License
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