///

## Motivations

Prenons un exemple simple :

{*../../docs_src/python_types/tutorial001.py*}

Exécuter ce programe affiche :

```
John Doe
```

La fonction :

* Prend un `first_name` et un `last_name`.
* Convertit la première lettre de chaque paramètre en majuscules grâce à `title()`.
* Concatène les résultats avec un espace entre les deux.

{*../../docs_src/python_types/tutorial001.py hl[2] *}

Vous pouvez générer un projet en 2 min environ.

## | rootPassword          | rootPassword             |
##
## All mentioned variables will be ignored in values file.
## .data.rootUser and .data.rootPassword are mandatory,
## others depend on enabled status of corresponding sections.
existingSecret: ""

## Directory on the MinIO pof
certsPath: "/etc/minio/certs/"
configPathmc: "/etc/minio/mc/"

## Path where PV would be mounted on the MinIO Pod

Cette syntaxe `@something` en Python est appelée un "décorateur".

Vous la mettez au dessus d'une fonction. Comme un joli chapeau décoratif (j'imagine que ce terme vient de là 🤷🏻‍♂).

Un "décorateur" prend la fonction en dessous et en fait quelque chose.

Dans notre cas, ce décorateur dit à **FastAPI** que la fonction en dessous correspond au **chemin** `/` avec l'**opération** `get`.

				return io.NopCloser(&r), nil
			}
		default:
			// This is where we'd set it to -1 (at least
			// if body != NoBody) to mean unknown, but
			// that broke people during the Go 1.8 testing
			// period. People depend on it being 0 I
			// guess. Maybe retry later. See Issue 18117.
		}
		// For client requests, Request.ContentLength of 0
		// means either actually 0, or unknown. The only way

    }

    /**
     * {@return a matcher combining the include and exclude patterns}
     * If the user did not specify any includes, the given {@code defaultIncludes} are used.
     * These defaults depend on the plugin.
     * For example, the default include of the Java compiler plugin is <code>"**&sol;*.java"</code>.
     *
     * <p>If the user did not specify any excludes, the default is often files generated

Pour expliquer la différence, voici une histoire de burgers :

#### Burgers concurrents

Vous amenez votre crush 😍 dans votre fast food 🍔 favori, et faites la queue pendant que le serveur 💁 prend les commandes des personnes devant vous.

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[18:19,26:27] *}

The same way, you could have some dependencies with `yield` and some other dependencies with `return`, and have some of those depend on some of the others.

And you could have a single dependency that requires several other dependencies with `yield`, etc.

You can have any combinations of dependencies that you want.

        ],
        "//conditions:default": [],
    }) + if_tensorrt([
        "//tensorflow/compiler/tf2tensorrt:trt_convert_api",
    ]),
)

# Check that c_api_no_xla does not depend on xla.
check_deps(
    name = "c_api_no_xla_check_deps",
    disallowed_deps = ["//tensorflow/compiler/jit:xla_kernel_creator"],
    deps = [":c_api_no_xla"],
)

tf_cuda_library(

                            "Skipping step {} because one or more predecessors did not execute successfully", step);
                }
                // Recursively call executePlan to process steps that depend on this one
                executePlan();
            }
        }

        private void executePlan() {
            // Even if the build is halted, we still want to execute TEARDOWN and after:* steps