```hl_lines="4"
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

Cette ligne montre l'URL par laquelle l'app est actuellement accessible, sur votre machine locale.

### Allez voir le résultat

Ouvrez votre navigateur à l'adresse <a href="http://127.0.0.1:8000" class="external-link" target="_blank">http://127.0.0.1:8000</a>.

Vous obtiendrez cette réponse JSON :

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

/// tip | Consejo

Si te estás preguntando, "AlexNet", "ResNet" y "LeNet" son solo nombres de <abbr title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</abbr> de Machine Learning.

///

### Declarar un *path parameter* { #declare-a-path-parameter }

Luego crea un *path parameter* con una anotación de tipo usando la clase enum que creaste (`ModelName`):

        // Then
        byte[] guid = request.getClientGuid();
        assertNotNull(guid);
        assertEquals(16, guid.length);
        // Should be zeros (not set from machine ID)
        for (byte b : guid) {
            assertEquals(0, b);
        }
    }

    @Test
    @DisplayName("Should add negotiate contexts for SMB 3.1.1")
    void testNegotiateContextsSmb311() {

of these things:

    a) Accompany the work with the complete corresponding
    machine-readable source code for the Library including whatever
    changes were used in the work (which must be distributed under
    Sections 1 and 2 above); and, if the work is an executable linked
    with the Library, with the complete machine-readable "work that
    uses the Library", as object code and/or source code, so that the

    "article"
);
suggester.indexer().indexFromDocument(reader, 4, 50);
```

### Search Analytics

```java
// Track user queries for analytics
QueryLog userQuery = new QueryLog("machine learning tutorials", "user456");
suggester.indexer().indexFromQueryLog(userQuery);

// Get trending searches
PopularWordsResponse trending = suggester.popularWords()
    .setSize(10)
    .execute()

## 服务器主机和服务器程序

关于名称，有一个小细节需要记住。 💡

“**服务器**”一词通常用于指远程/云计算机（物理机或虚拟机）以及在该计算机上运行的程序（例如 Uvicorn）。

请记住，当您一般读到“服务器”这个名词时，它可能指的是这两者之一。

当提到远程主机时，通常将其称为**服务器**，但也称为**机器**(machine)、**VM**（虚拟机）、**节点**。 这些都是指某种类型的远程计算机，通常运行 Linux，您可以在其中运行程序。


## 安装服务器程序

当您安装 FastAPI 时，它自带一个生产环境服务器——Uvicorn，并且您可以使用 `fastapi run` 命令来启动它。

不过，您也可以手动安装 ASGI 服务器。

			// spurious blank caused by Split on "\n"
			output = output[1:]
			continue
		}
		t.Errorf("unexpected output: %q", output[0])
		output = output[1:]
	}

	// Checked printing.
	// Now check machine code layout.

	top := pList.Firstpc
	var text *obj.LSym
	ok = true
	ctxt.DiagFunc = func(format string, args ...any) {
		t.Errorf(format, args...)
		ok = false
	}
	obj.Flushplist(ctxt, pList, nil)

</p>

<p>
Reads of memory locations larger than a single machine word
are encouraged but not required to meet the same semantics
as word-sized memory locations,
observing a single allowed write <i>w</i>.
For performance reasons,
implementations may instead treat larger operations
as a set of individual machine-word-sized operations
in an unspecified order.

///

/// tip | Порада

Якщо вам цікаво, "AlexNet", "ResNet" та "LeNet" — це просто назви ML моделей <abbr title="Технічно, архітектури Deep Learning моделей">Machine Learning</abbr>.

///


### Оголосіть *параметр шляху*

Потім створіть *параметр шляху* з анотацією типу, використовуючи створений вами клас enum (`ModelName`):