Adapters.ANY_VALUE to
              AnyValue(
                tagClass = DerHeader.TAG_CLASS_CONTEXT_SPECIFIC,
                tag = 1L,
                constructed = false,
                length = 16,
                bytes = "******@****.***".encodeUtf8(),
              ),
          ),
      ),
    )
  }

  /** Converts public key bytes to SubjectPublicKeyInfo bytes. */

//// tab | Python 3.9+

```Python hl_lines="17"
{!> ../../docs_src/dependencies/tutorial008d_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial008d_an.py!}
```

////

//// tab | Python 3.8+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

"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!}
```

### ドキュメントの確認

*パスパラメータ*の利用可能な値が事前に定義されているので、対話的なドキュメントで適切に表示できます:

<img src="/img/tutorial/path-params/image03.png">

### Python*列挙型*の利用

IfNotPresent imagePullSecrets: [] # - name: "image-pull-secret" ## Set default image, imageTag, and imagePullPolicy for the `mc` (the minio ## client used to create a default bucket). ## mcImage: repository: quay.io/minio/mc tag: RELEASE.2022-09-16T09-16-47Z pullPolicy: IfNotPresent ## minio mode, i.e. standalone or distributed or gateway. mode: distributed ## other supported values are "standalone", "gateway" ## Additional labels to include with deployment or statefulset additionalLabels: {} ## Additional...

    for (Integer red : colorElem) {
      for (Integer green : colorElem) {
        for (Integer blue : colorElem) {
          webSafeColorsBuilder.add((red << 16) + (green << 8) + blue);
        }
      }
    }
    ImmutableSet<Integer> webSafeColors = webSafeColorsBuilder.build();
    assertEquals(216, webSafeColors.size());

      if (!isFinite(value)) {
        sumOfSquaresOfDeltas = NaN;
      }
    } else {
      count++;
      if (isFinite(value) && isFinite(mean)) {
        // Art of Computer Programming vol. 2, Knuth, 4.2.2, (15) and (16)
        double delta = value - mean;
        mean += delta / count;
        sumOfSquaresOfDeltas += delta * (value - mean);
      } else {
        mean = calculateNewMeanNonFinite(mean, value);

  @VisibleForTesting
  static final BigInteger SQRT2_PRECOMPUTED_BITS =
      new BigInteger("16a09e667f3bcc908b2fb1366ea957d3e3adec17512775099da2f590b0667322a", 16);

  /**
   * Returns the base-10 logarithm of {@code x}, rounded according to the specified rounding mode.
   *
   * @throws IllegalArgumentException if {@code x <= 0}

				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z AccElem) Msgsize() (s int) {
	s = 1 + 6 + msgp.Int64Size + 5 + msgp.Int64Size + 2 + msgp.Int64Size
	return
}

// DecodeMsg implements msgp.Decodable
func (z *LastMinuteHistogram) DecodeMsg(dc *msgp.Reader) (err error) {
	var zb0001 uint32

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="18"
{!> ../../docs_src/response_model/tutorial002.py!}
```

////

//// tab | 🐍 3️⃣.1️⃣0️⃣ & 🔛

```Python hl_lines="16"
{!> ../../docs_src/response_model/tutorial002_py310.py!}
```

////

🔜, 🕐❔ 🖥 🏗 👩‍💻 ⏮️ 🔐, 🛠️ 🔜 📨 🎏 🔐 📨.

👉 💼, ⚫️ 💪 🚫 ⚠, ↩️ ⚫️ 🎏 👩‍💻 📨 🔐.

//// tab | Python 3.9+

```Python hl_lines="17"
{!> ../../docs_src/dependencies/tutorial008d_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial008d_an.py!}
```

////

//// tab | python 3.8+ non-annotated

/// tip | "Dica"

Utilize a versão com `Annotated` se possível.

///