* automate the process, often adding features like monitoring, debugging, and cancellation.
 * Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *
 * <p>The main purpose of {@link #addListener addListener} is to support this chaining. You will

<img src="/img/tutorial/path-params/image02.png">

🎏 🌌, 📤 📚 🔗 🧰. ✅ 📟 ⚡ 🧰 📚 🇪🇸.

## Pydantic

🌐 💽 🔬 🎭 🔽 🚘 <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>, 👆 🤚 🌐 💰 ⚪️➡️ ⚫️. &amp; 👆 💭 👆 👍 ✋.

👆 💪 ⚙️ 🎏 🆎 📄 ⏮️ `str`, `float`, `bool` &amp; 📚 🎏 🏗 📊 🆎.

📚 👫 🔬 ⏭ 📃 🔰.

## ✔ 🤔

	errRoleArnPresentForMultipleTargets = Errorf("`Role` should be empty in ReplicationConfiguration for multiple targets")
)

// Config - replication configuration specified in
// https://docs.aws.amazon.com/AmazonS3/latest/dev/replication-add-config.html
type Config struct {
	XMLName xml.Name `xml:"ReplicationConfiguration" json:"-"`
	Rules   []Rule   `xml:"Rule" json:"Rules"`
	// RoleArn is being reused for MinIO replication ARN

লক্ষ্য করুন যে এর মানে হল "`one_person` হল ক্লাস `Person`-এর একটি **ইন্সট্যান্স**।"

এর মানে এটি নয় যে "`one_person` হল **ক্লাস** যাকে বলা হয় `Person`।"

## Pydantic মডেল

[Pydantic](https://docs.pydantic.dev/) হল একটি Python লাইব্রেরি যা ডাটা ভ্যালিডেশন সম্পাদন করে।

আপনি ডাটার "আকার" এট্রিবিউট সহ ক্লাস হিসেবে ঘোষণা করেন।

এবং প্রতিটি এট্রিবিউট এর একটি টাইপ থাকে।

//// tab | Pydantic v2

In Pydantic Version 2 würden Sie das Attribut `model_config` verwenden, das ein `dict` akzeptiert, wie beschrieben in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic-Dokumentation: Configuration</a>.

Notice that this means "`one_person` is an **instance** of the class `Person`".

It doesn't mean "`one_person` is the **class** called `Person`".

## Pydantic models

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

## ⚠

🚥 👆 💪 🎭 🏋️ 🖥 📊 &amp; 👆 🚫 🎯 💪 ⚫️ 🏃 🎏 🛠️ (🖼, 👆 🚫 💪 💰 💾, 🔢, ♒️), 👆 💪 💰 ⚪️➡️ ⚙️ 🎏 🦏 🧰 💖 <a href="https://docs.celeryq.dev" class="external-link" target="_blank">🥒</a>.

👫 😑 🚚 🌖 🏗 📳, 📧/👨‍🏭 📤 👨‍💼, 💖 ✳ ⚖️ ✳, ✋️ 👫 ✔ 👆 🏃 🖥 📋 💗 🛠️, &amp; ✴️, 💗 💽.

- [Object Lifecycle Management](https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html)...

package event

import (
	"encoding/json"
	"encoding/xml"
)

// Name - event type enum.
// Refer http://docs.aws.amazon.com/AmazonS3/latest/dev/NotificationHowTo.html#notification-how-to-event-types-and-destinations
// for most basic values we have since extend this and its not really much applicable other than a reference point.

```Python hl_lines="6"
{!../../docs_src/python_types/tutorial010.py!}
```

그리고 역시나 모든 에디터 도움을 받게 되겠죠.

<img src="/img/python-types/image06.png">

## Pydantic 모델

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>은 데이터 검증(Validation)을 위한 파이썬 라이브러리입니다.

당신은 속성들을 포함한 클래스 형태로 "모양(shape)"을 선언할 수 있습니다.

그리고 각 속성은 타입을 가지고 있습니다.