correctement",badEmail:"Vous n'avez pas saisi une adresse e-mail valide",badTelephone:"Vous n'avez pas saisi un numéro de téléphone valide",badSecurityAnswer:"Vous avez saisi une mauvaise réponse à la question de sécurité",badDate:"Vous n'avez pas saisi une date correcte",lengthBadStart:"Votre saisie doit comporter entre ",lengthBadEnd:" caractères",lengthTooLongStart:"Vous avez saisi une réponse qui est plus longue que ",lengthTooShortStart:"Votre saisie est plus courte que ",notConfirmed:"Les saisies ne...

Türleriyle standart Python yazarsınız:

```Python
from datetime import date

from pydantic import BaseModel

# Bir değişkeni str olarak belirt
# ve fonksiyon içinde editör desteği al
def main(user_id: str):
    return user_id


# Bir Pydantic modeli
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sonra şöyle kullanabilirsiniz:

```Python

The branch needs to be available on the remote that the BWC makes of the
repository you run the tests from. Using the remote is a handy trick to make
sure that a branch is available and is up to date in the case of multiple runs.

Example:

Say you need to make a change to `master` and have a BWC layer in `5.x`. You
will need to:
. Create a branch called `index_req_change` off your remote `${remote}`. This

Вы пишете стандартный Python с типами:

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр как `str`
# и получаем поддержку редактора кода внутри функции
def main(user_id: str):
    return user_id


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

Это можно использовать так:

```Python

import java.io.ByteArrayInputStream;
import java.io.StringWriter;
import java.lang.reflect.Field;
import java.net.URL;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;

import javax.xml.transform.OutputKeys;

                    throw new InvalidAccessTokenException("invalid_token",
                            "The token is expired(" + FessFunctions.formatDate(FessFunctions.date(expiredTime)) + ").");
                }
                stream(accessToken.getPermissions()).of(stream -> stream.forEach(permissionSet::add));
                final String name = accessToken.getParameterName();

## Versions disponibles { #available-versions }

Vous pouvez consulter les versions disponibles (par exemple, pour vérifier quelle est la dernière version en date) dans les [Notes de version](../release-notes.md).

## À propos des versions { #about-versions }

		if test.canonicalizedETag != etag {
			t.Fatalf("Expected %s , got %s", test.canonicalizedETag, etag)
		}
	}
}

// Tests - CheckPreconditions()
func TestCheckPreconditions(t *testing.T) {
	objModTime := time.Date(2024, time.August, 26, 0o2, 0o1, 0o1, 0, time.UTC)
	objInfo := ObjectInfo{ETag: "aa", ModTime: objModTime}
	testCases := []struct {
		name              string
		ifMatch           string
		ifNoneMatch       string

Sie schreiben Standard-Python mit Typen:

```Python
from datetime import date

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein str
# und bekommen Sie Editor-Unterstützung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python

Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que luego puede ser usado como:

```Python