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...

                return LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
            } catch (final DateTimeParseException e) {
                logger.debug("Invalid date format: {}", value, e);
            }
        }
        return DfTypeUtil.toLocalDateTime(value);
    }

    @SuppressWarnings("unchecked")
    @Override

Je schrijft gewoon standaard Python met types:

```Python
from datetime import date

from pydantic import BaseModel

# Declareer een variabele als een str
# en krijg editorondersteuning in de functie
def main(user_id: str):
    return user_id


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

Vervolgens kan je het op deze manier gebruiken:

```Python

Escribes Python estándar con tipos así:

```Python
from datetime import date

from pydantic import BaseModel

# Declaras la variable como un str
# y obtienes 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
```

Este puede ser usado como:

```Python

	// Auth middleware verifies incoming authorization headers and routes them
	// accordingly. Client receives a HTTP error for invalid/unsupported
	// signatures.
	//
	// Validates all incoming requests to have a valid date header.
	setAuthMiddleware,
	// Redirect some pre-defined browser request paths to a static location
	// prefix.
	setBrowserRedirectMiddleware,
	// Adds 'crossdomain.xml' policy middleware to serve legacy flash clients.

	errAuthentication     = errors.New("Authentication failed, check your access credentials")
	errNoAuthToken        = errors.New("JWT token missing")
	errSkewedAuthTime     = errors.New("Skewed authentication date/time")
	errMalformedAuth      = errors.New("Malformed authentication input")
)

func authenticateNode(accessKey, secretKey string) (string, error) {
	claims := xjwt.NewStandardClaims()

                    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();

## Contents properties

All properties except the file size are tied to the zip file. This means that modification date, headers, tags, etc. can only be set for the zip file as a whole. In similar fashion, replication will replicate the zip file as a whole and not individual files.

## Code Examples

```Python
from typing import List, Dict
from datetime import date

from pydantic import BaseModel

# Değişkeni str olarak belirt
# ve o fonksiyon için harika bir editör desteği al
def main(user_id: str):
    return user_id


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

Sonrasında bu şekilde kullanabilirsin

```Python

Wystarczy, że napiszesz standardowe deklaracje typów Pythona:

```Python
from datetime import date

from pydantic import BaseModel

# Zadeklaruj parametr jako str
# i uzyskaj wsparcie edytora wewnątrz funkcji
def main(user_id: str):
    return user_id


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

A one będą mogły zostać później użyte w następujący sposób:

```Python