You can use the `jsonable_encoder` to convert the input data to data that can be stored as JSON (e.g. with a NoSQL database). For example, converting `datetime` to `str`.

=== "Python 3.10+"

    ```Python hl_lines="28-33"
    {!> ../../../docs_src/body_updates/tutorial001_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="30-35"
    {!> ../../../docs_src/body_updates/tutorial001_py39.py!}
    ```

    ```

=== "🐍 3️⃣.9️⃣ & 🔛"

    ```Python hl_lines="30-35"
    {!> ../../../docs_src/body_updates/tutorial001_py39.py!}
    ```

=== "🐍 3️⃣.1️⃣0️⃣ & 🔛"

    ```Python hl_lines="28-33"
    {!> ../../../docs_src/body_updates/tutorial001_py310.py!}
    ```

`PUT` ⚙️ 📨 💽 👈 🔜 ❎ ♻ 💽.

### ⚠ 🔃 ❎

👈 ⛓ 👈 🚥 👆 💚 ℹ 🏬 `bar` ⚙️ `PUT` ⏮️ 💪 ⚗:

```Python
{
    "name": "Barz",

=== "Pydantic v2"

    ```Python hl_lines="26-33"
    {!> ../../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
    ```

=== "Pydantic v1"

    ```Python hl_lines="26-33"
    {!> ../../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
    ```

!!! info

	_ = x[HandlerStopRebalance-28]
	_ = x[HandlerLoadRebalanceMeta-29]
	_ = x[HandlerLoadTransitionTierConfig-30]
	_ = x[HandlerDeletePolicy-31]
	_ = x[HandlerLoadPolicy-32]
	_ = x[HandlerLoadPolicyMapping-33]
	_ = x[HandlerDeleteServiceAccount-34]
	_ = x[HandlerLoadServiceAccount-35]
	_ = x[HandlerDeleteUser-36]
	_ = x[HandlerLoadUser-37]
	_ = x[HandlerLoadGroup-38]
	_ = x[HandlerHealBucket-39]
	_ = x[HandlerMakeBucket-40]

		32: {
			IsTruncated: false,
			Objects: []ObjectInfo{
				{Name: "obj1"},
				{Name: "obj2"},
			},
			Prefixes: []string{"temporary/"},
		},
		// ListObjectsResult-33 Listing empty directory only
		33: {
			IsTruncated: false,
			Objects: []ObjectInfo{
				{Name: "temporary/0/"},
			},
		},
		// ListObjectsResult-34:
		//    * Listing with marker > last object should return empty

⤴️ 👥 ⚙️ 📨 🔗, & ⚗ 💪 `bytes`. 👉 ⛓ 👈 FastAPI 🏆 🚫 🔄 🎻 📨 🚀 🎻.

& ⤴️ 👆 📟, 👥 🎻 👈 📁 🎚 🔗, & ⤴️ 👥 🔄 ⚙️ 🎏 Pydantic 🏷 ✔ 📁 🎚:

```Python hl_lines="26-33"
{!../../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

!!! tip
    📥 👥 🏤-⚙️ 🎏 Pydantic 🏷.

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

```Python hl_lines="26-33"
{!../../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

!!! tip "Astuce"
    Ici, nous réutilisons le même modèle Pydantic.

	_ = x[ErrInvalidObjectState-28]
	_ = x[ErrMalformedXML-29]
	_ = x[ErrMissingContentLength-30]
	_ = x[ErrMissingContentMD5-31]
	_ = x[ErrMissingRequestBodyError-32]
	_ = x[ErrMissingSecurityHeader-33]
	_ = x[ErrNoSuchBucket-34]
	_ = x[ErrNoSuchBucketPolicy-35]
	_ = x[ErrNoSuchBucketLifecycle-36]
	_ = x[ErrNoSuchLifecycleConfiguration-37]
	_ = x[ErrInvalidLifecycleWithObjectLock-38]
	_ = x[ErrNoSuchBucketSSEConfig-39]

- login: dstlny
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  url: https://github.com/dstlny
last_month_experts:
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var w int64 = 1.0<<33          // 1.0<<33 is a constant shift expression; w == 1<<33
var x = a[1.0<<s]              // panics: 1.0 has type int, but 1<<33 overflows array bounds
var b = make([]byte, 1.0<<s)   // 1.0 has type int; len(b) == 1<<33

// The results of the following examples are given for 32-bit ints,