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  1. docs/fr/docs/features.md

    ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png)
    
    * Une autre documentation d'API est fournie par <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank"><strong>ReDoc</strong></a>.
    
    ![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)
    
    ### Faite en python moderne
    
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  2. docs/fr/docs/index.md

    Maintenant, rendez-vous sur <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.
    
    Vous verrez la documentation interactive automatique de l'API (fournie par <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>) :
    
    ![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)
    
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  3. docs/fr/docs/advanced/additional-responses.md

                    * **FastAPI** ajoute ici une référence aux schémas JSON globaux à un autre endroit de votre OpenAPI au lieu de l'inclure directement. De cette façon, d'autres applications et clients peuvent utiliser ces schémas JSON directement, fournir de meilleurs outils de génération de code, etc.
    
    Les réponses générées au format OpenAPI pour cette *opération de chemin* seront :
    
    ```JSON hl_lines="3-12"
    {
        "responses": {
            "404": {
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  4. tensorflow/BUILD

            "//waymo/ml/cn/...",
            "//waymo/ml/models/...",
        ],
    )
    
    package_group(
        name = "ndarray_tensor_allow_list",
        packages = [
            "//third_party/py/courier/...",
            "//third_party/py/tensorfn/...",
        ],
    )
    
    # Packages that use private types symbols, until they are exported.
    # TODO(b/154650521) Remove.
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  5. RELEASE.md

        * \*fft\* ops now support dtensors with any layout. Fixed bug in 'fft2d/fft3d', 'ifft2d/ifft3d', 'rfft2d/rfft3d', and 'irfft2d/irfft3d' for sharde input. Refer to this [blog post](https://blog.tensorflow.org/2023/08/distributed-fast-fourier-transform-in-tensorflow.html) for details.
    
    *  `tf.experimental.strict_mode`
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