/// note | Technical Details

You could also use `from starlette.responses import HTMLResponse`.

**FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette.

///

### Multiple File Uploads with Additional Metadata { #multiple-file-uploads-with-additional-metadata }

# NOTE: This Dockerfile is no longer in use.
# It is kept just in case, but it's recommended to use the 2022 version,
# and that is what internal CI uses as well.

# This Dockerfile creates an image that has:
# - the correct MTU setting for networking from inside the container to work.
# - Visual Studio 2022 Build Tools
# - MSVC 14.39
# - LLVM/Clang 18.1.4
# - MSYS2 + curl, git, patch, vim, unzip, zip
# - Python 3.12.3
# - Bazelisk 1.19.0

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

That way, you don't have to "install" your local version to be able to test every change.

/// note | Technical Details

   * objects come from factory methods that are themselves {@code @Nullable}. In reality neither the
   * array nor its contents can be null, but it is not useful to force the use of {@code
   * requireNonNull} or the like just to assert that.
   *
   * <p>{@code EqualsTester} will always check that every object it is given returns false from
   * {@code equals(null)}, so it is neither useful nor allowed to include a null value in any

### Un Contenedor Único

Si tienes una configuración simple, con un **contenedor único** que luego inicia múltiples **worker processes** (o también solo un proceso), entonces podrías ejecutar esos pasos previos en el mismo contenedor, justo antes de iniciar el proceso con la aplicación.

### Imagen Base de Docker

Les routes sont déclarées à un seul endroit, en utilisant des fonctions déclarées à d'autres endroits (au lieu
d'utiliser des décorateurs qui peuvent être placés juste au-dessus de la fonction qui gère l'endpoint). Cette
méthode est plus proche de celle de Django que de celle de Flask (et Starlette). Il sépare dans le code des choses
qui sont relativement fortement couplées.

Las rutas se declaran en un solo lugar, usando funciones declaradas en otros lugares (en lugar de usar decoradores que pueden colocarse justo encima de la función que maneja el endpoint). Esto se acerca más a cómo lo hace Django que a cómo lo hace Flask (y Starlette). Separa en el código cosas que están relativamente acopladas.

/// check | Inspiró a **FastAPI** a

              $(location @local_config_def_file_filter//:def_file_filter) \\
              --input $(location :tensorflow_def_file) \\
              --output $@
          """,
        "//conditions:default": "touch $@",  # Just a placeholder for Unix platforms
    }),
    tools = ["@local_config_def_file_filter//:def_file_filter"],
    visibility = ["//visibility:public"],
)

            Arrays.fill(buffer, (byte) 0xFF);

            lock.encode(buffer, 0);

            // Reserved field bytes are not modified by the encode method
            // The implementation just skips these bytes without writing zeros
            assertEquals(-1, SMBUtil.readInt4(buffer, 20));
        }
    }

    @Nested
    @DisplayName("Flag Constants Tests")
    class FlagConstantsTests {

The word "**server**" is commonly used to refer to both the remote/cloud computer (the physical or virtual machine) and also the program that is running on that machine (e.g. Uvicorn).

Just keep in mind that when you read "server" in general, it could refer to one of those two things.