runs-on: ubuntu-latest
    strategy:
      matrix:
        package:
          - fastapi
          - fastapi-slim
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: actions/checkout@v4
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.10"

]

[tool.coverage.run]
parallel = true
source = [
    "docs_src",
    "tests",
    "fastapi"
]
context = '${CONTEXT}'
omit = [
    "docs_src/response_model/tutorial003_04.py",
    "docs_src/response_model/tutorial003_04_py310.py",
]

[tool.ruff.lint]
select = [
    "E",  # pycodestyle errors

### Memory per Process

Now, when the program loads things in memory, for example, a machine learning model in a variable, or the contents of a large file in a variable, all that **consumes a bit of the memory (RAM)** of the server.

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    Framework FastAPI, alta performance, fácil de aprender, fácil de codar, pronto para produção
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<p align="center">
    FastAPI framework, hiệu năng cao, dễ học, dễ code, sẵn sàng để tạo ra sản phẩm
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    Ìlànà wẹ́ẹ́bù FastAPI, iṣẹ́ gíga, ó rọrùn láti kọ̀, o yára láti kóòdù, ó sì ṣetán fún iṣelọpọ ní lílo
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</p>
<p align="center">
    FastAPI framework, high performance, easy to learn, fast to code, ready for production
</p>
<p align="center">

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</p>
<p align="center">
    FastAPI framework, yüksek performanslı, öğrenmesi oldukça kolay, kodlaması hızlı, kullanıma hazır
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<p align="center">
    Framework FastAPI, haute performance, facile à apprendre, rapide à coder, prêt pour la production
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</p>
<p align="center">
    FastAPI framework, high performance, easy to learn, fast to code, ready for production
</p>
<p align="center">