MemStats: madmin.MemStats{
						Alloc:      server.MemStats.Alloc,
						TotalAlloc: server.MemStats.TotalAlloc,
						Mallocs:    server.MemStats.Mallocs,
						Frees:      server.MemStats.Frees,
						HeapAlloc:  server.MemStats.HeapAlloc,
					},
					GoMaxProcs:     server.GoMaxProcs,
					NumCPU:         server.NumCPU,
					RuntimeVersion: server.RuntimeVersion,

                List.of("                           apple, banana, pear"));
        p2.put("trees", "fir, oak, maple");
        p1.update(p2);

        assertEquals(2, (Object) p1.size());
        Object o23 = p1.getComments("trees");
        assertEquals(List.of("#", "# List of trees", "#"), o23);
        Object o22 = p1.getProperty("trees");
        assertEquals("fir, oak, maple", o22);
        Object o21 = p1.getComments("fruits");

    "groups" : [ {
      "testProject" : "archivePerformanceProject",
      "coverage" : {
        "per_day" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.ArchiveTreePerformanceTest.visiting tar trees",
    "groups" : [ {
      "testProject" : "archivePerformanceProject",

Vous pouvez :

* <a href="https://github.com/tiangolo" class="external-link" target="_blank">Me suivre sur **GitHub**</a>.
    * Voir d'autres projets Open Source que j'ai créés et qui pourraient vous aider.
    * Suivez-moi pour voir quand je crée un nouveau projet Open Source.
* <a href="https://twitter.com/tiangolo" class="external-link" target="_blank">Me suivre sur **Twitter**</a>.

Just functions that look the same as the *path operation functions*.

But still, it is very powerful, and allows you to declare arbitrarily deeply nested dependency "graphs" (trees).

/// tip

All this might not seem as useful with these simple examples.

But you will see how useful it is in the chapters about **security**.

And you will also see the amounts of code it will save you.

Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} :

<blockquote markdown="1">

**FastAPI** n'existerait pas sans le travail antérieur d'autres personnes.

Il y a eu de nombreux outils créés auparavant qui ont contribué à inspirer sa création.

  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.ArchiveTreePerformanceTest.visiting gzip tar trees",
  "durations" : [ {
    "testProject" : "archivePerformanceProject",
    "linux" : 322
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.ArchiveTreePerformanceTest.visiting tar trees",
  "durations" : [ {
    "testProject" : "archivePerformanceProject",
    "linux" : 320
  } ]
}, {

import java.util.Iterator;
import java.util.Queue;
import java.util.function.Consumer;
import javax.annotation.CheckForNull;

/**
 * Views elements of a type {@code T} as nodes in a tree, and provides methods to traverse the trees
 * induced by this traverser.
 *
 * <p>For example, the tree
 *
 * <pre>{@code
 *        h
 *      / | \
 *     /  e  \
 *    d       g
 *   /|\      |
 *  / | \     f
 * a  b  c
 * }</pre>

```Python hl_lines="3  5"
{!../../docs_src/dependencies/tutorial007.py!}
```

## Sub-dependencies with `yield`

You can have sub-dependencies and "trees" of sub-dependencies of any size and shape, and any or all of them can use `yield`.

**FastAPI** will make sure that the "exit code" in each dependency with `yield` is run in the correct order.

    for both GPUs and CPUs.

*   Due to security issues (see section below), all boosted trees code has been
    deprecated. Users should switch to
    [TensorFlow Decision Forests](https://github.com/tensorflow/decision-forests).
    TF's boosted trees code will be eliminated before the branch cut for TF 2.9
    and will no longer be present since that release.

## Security