```Python hl_lines="18  21  23"
{!../../docs_src/path_params/tutorial005.py!}
```

İstemci tarafında şuna benzer bir JSON yanıtı ile karşılaşırsınız:

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## Yol İçeren Yol Parametreleri

Farz edelim ki elinizde `/files/{file_path}` isminde bir *yol operasyonu* var.

    if (isWindows()) {
      return; // TODO: b/136041958 - We need to account for drive letters in the path.
    }
    assertEquals(
        new File("/usr/test/dep.jar").toURI(),
        ClassPath.getClassPathEntry(new File("/home/build/outer.jar"), "file:/usr/test/dep.jar")
            .toURI());
    assertEquals(
        new File("/home/build/a.jar").toURI(),

返回给客户端之前，要把枚举元素转换为对应的值（本例中为字符串）：

```Python hl_lines="18  21  23"
{!../../docs_src/path_params/tutorial005.py!}
```

客户端中的 JSON 响应如下：

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## 包含路径的路径参数

假设*路径操作*的路径为 `/files/{file_path}`。

但需要 `file_path` 中也包含*路径*，比如，`home/johndoe/myfile.txt`。

此时，该文件的 URL 是这样的：`/files/home/johndoe/myfile.txt`。

platforms/documentation/docs/src/docs/userguide/core-plugins/war_plugin.adoc                  @gradle/bt-devrel-education @gradle/bt-jvm
platforms/documentation/docs/src/docs/userguide/dep-man/                                      @gradle/bt-devrel-education @gradle/bt-jvm
platforms/documentation/docs/src/docs/userguide/jvm/                                          @gradle/bt-devrel-education @gradle/bt-jvm

        # - name: confusing-naming
        # - name: unexported-naming
        # - name: early-return
        # - name: unused-parameter
        # - name: unnecessary-stmt
        # - name: deep-exit
        # - name: import-shadowing
        # - name: modifies-value-receiver
        # - name: unused-receiver
        # - name: bare-return
        # - name: flag-parameter
        # - name: unhandled-error

```Python hl_lines="18  21  23"
{!../../docs_src/path_params/tutorial005.py!}
```

Le client recevra une réponse JSON comme celle-ci :

```JSON
{
  "model_name": "alexnet",
  "message": "Deep Learning FTW!"
}
```

## Paramètres de chemin contenant des chemins

Disons que vous avez une *fonction de chemin* liée au chemin `/files/{file_path}`.

* **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Imagina en una enorme hoja de cálculo con números y tener que multiplicarlos todos al mismo tiempo.

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.

"til", "er", "som", "på", "de", "med", "han", "av", "ikke", "ikkje", "der", "så", "var", "meg", "seg", "men", "ett", "har", "om", "vi", "min", "mitt", "ha", "hadde", "hun", "nå", "over", "da", "ved", "fra", "du", "ut", "sin", "dem", "oss", "opp", "man", "kan", "hans", "hvor", "eller", "hva", "skal", "selv", "sjøl", "her", "alle", "vil", "bli", "ble", "blei", "blitt", "kunne", "inn", "når", "være", "kom", "noen", "noe", "ville", "dere", "som", "deres", "kun", "ja", "etter", "ned", "skulle", "denne", "for",...

"til", "er", "som", "på", "de", "med", "han", "av", "ikke", "ikkje", "der", "så", "var", "meg", "seg", "men", "ett", "har", "om", "vi", "min", "mitt", "ha", "hadde", "hun", "nå", "over", "da", "ved", "fra", "du", "ut", "sin", "dem", "oss", "opp", "man", "kan", "hans", "hvor", "eller", "hva", "skal", "selv", "sjøl", "her", "alle", "vil", "bli", "ble", "blei", "blitt", "kunne", "inn", "når", "være", "kom", "noen", "noe", "ville", "dere", "som", "deres", "kun", "ja", "etter", "ned", "skulle", "denne", "for",...