"crypto/internal/impl" ) // This file contains code for using the 'compute intermediate // message digest' (KIMD) and 'compute last message digest' (KLMD) // instructions to compute SHA-3 and SHAKE hashes on IBM Z. See // [z/Architecture Principles of Operation, Fourteen Edition]. // // [z/Architecture Principles of Operation, Fourteen Edition]: https://www.ibm.com/docs/en/module_1678991624569/pdf/SA22-7832-13.pdf var useSHA3 = cpu.S390XHasSHA3 func init() { // CP Assist for Cryptographic Functions (CPACF) impl.Register("sha3",...

{* ../../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 }

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

      <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 | 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

"crypto/internal/impl" ) // This file contains code for using the 'compute intermediate // message digest' (KIMD) and 'compute last message digest' (KLMD) // instructions to compute SHA-3 and SHAKE hashes on IBM Z. See // [z/Architecture Principles of Operation, Fourteen Edition]. // // [z/Architecture Principles of Operation, Fourteen Edition]: https://www.ibm.com/docs/en/module_1678991624569/pdf/SA22-7832-13.pdf var useSHA3 = cpu.S390XHasSHA3 func init() { // CP Assist for Cryptographic Functions (CPACF) impl.Register("sha3",...

///

/// 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:

{* ../../docs_src/path_params/tutorial005.py hl[16] *}

### ドキュメントの確認

	"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 (

    *   PV Recycle now works in environments that use architectures other than x86. ([#53958](https://github.com/kubernetes/kubernetes/pull/53958),[ @dixudx](https://github.com/dixudx))

* 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.