kotlin-reflect = { module = "org.jetbrains.kotlin:kotlin-reflect", version.ref = "org-jetbrains-kotlin" }
kotlin-stdlib = { module = "org.jetbrains.kotlin:kotlin-stdlib", version.ref = "org-jetbrains-kotlin" }
kotlin-stdlib-osgi = { module = "org.jetbrains.kotlin:kotlin-osgi-bundle", version.ref = "org-jetbrains-kotlin" }

    "crossVersionTests": false
  },
  {
    "name": "stdlib-java-extensions",
    "path": "platforms/core-runtime/stdlib-java-extensions",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "stdlib-kotlin-extensions",
    "path": "platforms/core-configuration/stdlib-kotlin-extensions",
    "unitTests": true,
    "functionalTests": false,

				},
				"subprojects":[
					"testing-jvm",
					"security",
					"input-tracking",
					"service-registry-impl",
					"configuration-cache-base",
					"base-ide-plugins",
					"files",
					"stdlib-java-extensions",
					"gradle-cli",
					"build-cache-packaging",
					"build-operations"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[

```Python hl_lines="1  7-12  19-20"
{!../../docs_src/dataclasses/tutorial001.py!}
```

👉 🐕‍🦺 👏 **Pydantic**, ⚫️ ✔️ <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">🔗 🐕‍🦺 `dataclasses`</a>.

, ⏮️ 📟 🔛 👈 🚫 ⚙️ Pydantic 🎯, FastAPI ⚙️ Pydantic 🗜 📚 🐩 🎻 Pydantic 👍 🍛 🎻.

&amp; ↗️, ⚫️ 🐕‍🦺 🎏:

* 💽 🔬

```Python hl_lines="1  7-12  19-20"
{!../../docs_src/dataclasses/tutorial001.py!}
```

Isso ainda é suportado graças ao **Pydantic**, pois ele tem <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">suporte interno para `dataclasses`</a>.

```Python hl_lines="1  7-12  19-20"
{!../../docs_src/dataclasses/tutorial001.py!}
```

这还是借助于 **Pydantic** 及其<a href="https://pydantic-docs.helpmanual.io/usage/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">内置的 `dataclasses`</a>。

因此，即便上述代码没有显式使用 Pydantic，FastAPI 仍会使用 Pydantic 把标准数据类转换为 Pydantic 数据类（`dataclasses`）。

并且，它仍然支持以下功能：

* 数据验证
* 数据序列化

```Python hl_lines="1  7-12  19-20"
{!../../docs_src/dataclasses/tutorial001.py!}
```

Das ist dank **Pydantic** ebenfalls möglich, da es <a href="https://pydantic-docs.helpmanual.io/usage/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">`dataclasses` intern unterstützt</a>.

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.

func NewRecord(f sql.SelectObjectFormat) *Record {
	return &Record{
		KVS:          jstream.KVS{},
		SelectFormat: f,
	}
}

// jsonFloat converts a float to string similar to Go stdlib formats json floats.
func jsonFloat(f float64) string {
	var tmp [32]byte
	dst := tmp[:0]

	// Convert as if by ES6 number to string conversion.
	// This matches most other JSON generators.

		ContentLengthRange contentLengthRange
	}
}

// implemented to ensure that duplicate keys in JSON
// are merged together into a single JSON key, also
// to remove any extraneous JSON bodies.
//
// Go stdlib doesn't support parsing JSON with duplicate
// keys, so we need to use this technique to merge the
// keys.
func sanitizePolicy(r io.Reader) (io.Reader, error) {
	var buf bytes.Buffer
	e := json.NewEncoder(&buf)