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  1. RELEASE.md

    for all files with the `.keras` extension. This file format targets the Python runtime only and makes it possible to reload Python objects identical to the saved originals. The format supports non-numerical state such as vocabulary files and lookup tables, and it is easy to customize in the case of custom layers with exotic elements of state (e.g. a FIFOQueue). The format does not rely on bytecode or pickling, and is safe by default. Note that as a result, Python `lambdas` are disallowed at loading...
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  2. docs/en/docs/how-to/async-sql-encode-databases.md

    ## Create the tables
    
    In this case, we are creating the tables in the same Python file, but in production, you would probably want to create them with Alembic, integrated with migrations, etc.
    
    Here, this section would run directly, right before starting your **FastAPI** application.
    
    * Create an `engine`.
    * Create all the tables from the `metadata` object.
    
    ```Python hl_lines="25-28"
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  3. docs/fr/docs/alternatives.md

        * <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">ReDoc</a>
    
        Ces deux-là ont été choisis parce qu'ils sont populaires et stables, mais en faisant une recherche rapide, vous pourriez trouver des dizaines d'alternatives supplémentaires pour OpenAPI (que vous pouvez utiliser avec **FastAPI**).
    
    ### Frameworks REST pour Flask
    
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  4. docs/fr/docs/async.md

    Pour parler de tâches "synchrones" (en opposition à "asynchrones"), on utilise souvent le terme "séquentiel", car l'ordinateur / le programme va effectuer toutes les étapes d'une tâche séquentiellement avant de passer à une autre tâche, même si ces étapes impliquent de l'attente.
    
    ### Concurrence et Burgers
    
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  5. docs/en/docs/tutorial/sql-databases.md

    ## Main **FastAPI** app
    
    And now in the file `sql_app/main.py` let's integrate and use all the other parts we created before.
    
    ### Create the database tables
    
    In a very simplistic way create the database tables:
    
    === "Python 3.9+"
    
        ```Python hl_lines="7"
        {!> ../../../docs_src/sql_databases/sql_app_py39/main.py!}
        ```
    
    === "Python 3.8+"
    
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  6. docs/es/docs/python-types.md

    <img src="https://fastapi.tiangolo.com/img/python-types/image05.png">
    
    Observa que la variable `item` es unos de los elementos en la lista `items`.
    
    El editor aún sabe que es un `str` y provee soporte para ello.
    
    #### Tuples y Sets
    
    Harías lo mismo para declarar `tuple`s y `set`s:
    
    ```Python hl_lines="1  4"
    {!../../../docs_src/python_types/tutorial007.py!}
    ```
    
    Esto significa:
    
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  7. docs/en/docs/release-notes.md

    * 📝 Tweak and improve docs for Request Files. PR [#4470](https://github.com/tiangolo/fastapi/pull/4470) by [@tiangolo](https://github.com/tiangolo).
    
    ### Fixes
    
    * 🐛 Fix bug preventing to use OpenAPI when using tuples. PR [#3874](https://github.com/tiangolo/fastapi/pull/3874) by [@victorbenichoux](https://github.com/victorbenichoux).
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  8. CHANGELOG/CHANGELOG-1.28.md

    - Updated cAdvisor to `v0.47.2` and fixed metrics in `cri-o` when a container restarts. ([#118774](https://github.com/kubernetes/kubernetes/pull/118774), [@harche](https://github.com/harche))
    - Updated distroless I-tables to use registry.k8s.io/build-image/distroless-iptables:v0.2.5 ([#118541](https://github.com/kubernetes/kubernetes/pull/118541), [@jeremyrickard](https://github.com/jeremyrickard)) [SIG Testing]
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  9. docs/metrics/v3.md

    ## Request, System and Cluster Metrics
    
    At a high level metrics are grouped into three categories, listed in the following sub-sections. The path in each of the tables is relative to the top-level endpoint.
    
    ### Request metrics 
    
    These are metrics about requests served by the (current) node.
    
    | Path            | Description                                      |
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