* Стандартний Пайтонівський `Decimal`.
    * У запитах і відповідях це буде оброблено так само, як і `float`.
* Ви можете перевірити всі дійсні типи даних Pydantic тут: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">типи даних Pydantic</a>.

## Приклад

Ось приклад *path operation* з параметрами, використовуючи деякі з вищезазначених типів.

            writeSecurityBuffer(type3, 28, offset, domain);
            offset += domainLength;
            writeSecurityBuffer(type3, 36, offset, user);
            offset += userLength;
            writeSecurityBuffer(type3, 44, offset, workstation);
            offset += workstationLength;
            writeSecurityBuffer(type3, 52, offset, sessionKey);
            writeULong(type3, 60, flags);
            return type3;

---

## **Typer**, das FastAPI der CLIs

<a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>

Anis Eleuch <******@****.***> 1701941636 -0800

// Error implements Error interface
func (b BatchJobYamlErr) Error() string {
	return fmt.Sprintf("%s\n Hint: error near line: %d, col: %d", b.msg, b.line, b.col)
}

// BatchJobKV is a key-value data type which supports wildcard matching
type BatchJobKV struct {
	line, col int
	Key       string `yaml:"key" json:"key"`
	Value     string `yaml:"value" json:"value"`
}

var _ yaml.Unmarshaler = &BatchJobKV{}

These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types.

To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints.

#### Newer versions of Python { #newer-versions-of-python }

But now, imagine you are again in the middle of creating that function, but with type hints.

Tại cùng một điểm, bạn thử kích hoạt autocomplete với `Ctrl+Space` và bạn thấy:

<img src="/img/python-types/image02.png">

Với cái đó, bạn có thể cuộn, nhìn thấy các lựa chọn, cho đến khi bạn tìm thấy một "tiếng chuông":

<img src="/img/python-types/image03.png">

## Động lực nhiều hơn

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Erstellen Sie Ihr Datenmodell

Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.

Verwenden Sie Standard-Python-Typen für die Klassenattribute:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

                }
                final NtlmMessage type3 = attemptNegotiation(response);
                if (type3 == null) {
                    return;
                }
                this.connection.setRequestProperty(this.authProperty, this.authMethod + ' ' + Base64.toBase64String(type3.toByteArray()));
                this.connection.connect(); // send type 3
                if (this.cachedOutput != null && this.doOutput) {

    public void test_constructor_withTypeAndMessage() {
        // Test constructor with type and message
        String type = "Bearer";
        String message = "Invalid access token provided";
        InvalidAccessTokenException exception = new InvalidAccessTokenException(type, message);

        assertEquals(type, exception.getType());
        assertEquals(message, exception.getMessage());