import java.util.LinkedHashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;
import java.util.function.UnaryOperator;

import org.apache.maven.impl.model.DefaultInterpolator;

/**
 * Enhancement of the standard <code>Properties</code>
 * managing the maintain of comments, etc.
 */
public class MavenProperties extends AbstractMap<String, String> {

import java.util.LinkedHashMap;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Set;
import java.util.function.UnaryOperator;

import org.apache.maven.impl.model.DefaultInterpolator;

/**
 * Enhancement of the standard <code>Properties</code>
 * managing the maintain of comments, etc.
 */
@Deprecated
public class MavenProperties extends AbstractMap<String, String> {

	Float  DataType = "float"
	String DataType = "string"
	Time   DataType = "time"
	Bytes  DataType = "bytes"
)

const DefaultAutoIncrementIncrement int64 = 1

// Field is the representation of model schema's field
type Field struct {
	Name                   string
	DBName                 string
	BindNames              []string
	EmbeddedBindNames      []string
	DataType               DataType

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは以下のように用いられます:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {

Nur Standard-**Python**.

Zum Beispiel für ein `int`:

```Python
item_id: int
```

oder für ein komplexeres `Item`-Modell:

```Python
item: Item
```

... und mit dieser einen Deklaration erhalten Sie:

* Editor-Unterstützung, einschließlich:
    * Code-Vervollständigung.
    * Typprüfungen.

```console
$ fastapi dev main.py

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

그런 다음 `/docs` UI로 이동하면, **FastAPI**가 해당 **model들**을 사용하여 API **문서를 생성**하는 것으르 확인할 수 있습니다. 또한 이 모델들은 데이터를 직렬화하고 검증하는 데에도 사용됩니다.

<div class="screenshot">
<img src="/img/tutorial/sql-databases/image01.png">
</div>

## 여러 모델로 애플리케이션 업데이트

/// check | Inspiró a **FastAPI** a

Definir validaciones extra para tipos de datos usando el valor "default" de los atributos del modelo. Esto mejora el soporte del editor y no estaba disponible en Pydantic antes.

-2.0.txt Apache Maven https://maven.apache.org/ https://maven.apache.org/ Maven is a project development management and comprehension tool. Maven is a project development management and comprehension tool. Based on the concept of a project object model: builds, dependency management, documentation creation, site publication, and distribution publication are all controlled from the declarative file. Maven can be extended by plugins to utilise a number of other development tools for reporting or the...

	}

	var dataDir string
	for _, folder := range dataDirs {
		if strings.HasSuffix(folder, SlashSeparator) {
			dataDir = folder
			break
		}
	}

	toDel := (len(erasureDisks) / 2) + 1
	for _, disk := range erasureDisks[:toDel] {
		disk.DeleteBulk(context.Background(), minioMetaMultipartBucket, []string{pathJoin(uploadIDPath, dataDir, "part.2")}...)
	}

	partInfos := []ListPartsInfo{

If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are consuming and adjust the **number of containers** that runs in **each machine** (and maybe add more machines to your cluster).