///

/// tip

🚥 👆 💭, "📊", "🎓", &amp; "🍏" 📛 🎰 🏫 <abbr title="Technically, Deep Learning model architectures">🏷</abbr>.

///

### 📣 *➡ 🔢*

⤴️ ✍ *➡ 🔢* ⏮️ 🆎 ✍ ⚙️ 🔢 🎓 👆 ✍ (`ModelName`):

```Python hl_lines="16"
{!../../docs_src/path_params/tutorial005.py!}
```

### ✅ 🩺

americanart.museum
amsterdam.museum
and.museum
annefrank.museum
anthro.museum
anthropology.museum
antiques.museum
aquarium.museum
arboretum.museum
archaeological.museum
archaeology.museum
architecture.museum
art.museum
artanddesign.museum
artcenter.museum
artdeco.museum
arteducation.museum
artgallery.museum
arts.museum
artsandcrafts.museum
asmatart.museum
assassination.museum

///

/// 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*

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

```Python hl_lines="16"

///

/// tip | "Astuce"

Pour ceux qui se demandent, "AlexNet", "ResNet", et "LeNet" sont juste des noms de <abbr title="Techniquement, des architectures de modèles">modèles</abbr> de Machine Learning.

///

### Déclarer un paramètre de chemin

      <match value="DICM" type="string" offset="128"/>
    </magic>
  </mime-type>

  <mime-type type="application/dita+xml">
    <sub-class-of type="application/xml"/>
    <_comment>Darwin Information Typing Architecture</_comment>
  </mime-type>

  <mime-type type="application/dita+xml;format=map">
    <sub-class-of type="application/dita+xml"/>
    <_comment>DITA Map</_comment>
    <root-XML localName="map"/>

///

/// tip | "豆知識"

"AlexNet"、"ResNet"そして"LeNet"は機械学習<abbr title="Technically, Deep Learning model architectures">モデル</abbr>の名前です。

///

### *パスパラメータ*の宣言

次に、作成したenumクラスである`ModelName`を使用した型アノテーションをもつ*パスパラメータ*を作成します:

```Python hl_lines="16"
{!../../docs_src/path_params/tutorial005.py!}
```

# The build-linux target is responsible for building binaries used within containers.
# This target should be expanded upon as we add more Linux architectures: i.e. build-arm64.
# Then a new build target can be created such as build-container-bin that builds these
# various platform images.
.PHONY: build-linux
build-linux: depend

                    // The exec builder suffers from https://github.com/jline/jline3/issues/1098
                    // We could re-enable it when fixed to provide support for non-standard architectures,
                    // for which JLine does not provide any native library.
                    builder.exec(false);
                    if (context.coloredOutput != null) {

	"fmt"
	"internal/godebug"
	"io/fs"
	"maps"
	"math"
	"path"
	"reflect"
	"strconv"
	"strings"
	"time"
)

// BUG: Use of the Uid and Gid fields in Header could overflow on 32-bit
// architectures. If a large value is encountered when decoding, the result
// stored in Header will be the truncated version.

var tarinsecurepath = godebug.New("tarinsecurepath")

var (

* Add [deployment documentation for Docker in Raspberry Pi](https://fastapi.tiangolo.com/deployment/#raspberry-pi-and-other-architectures) and other architectures.

* Trigger Docker images build on Travis CI automatically. PR [#65](https://github.com/tiangolo/fastapi/pull/65).

## 0.7.0

* Add support for `UploadFile` in `File` parameter annotations.