if de.Empty() {
		return nil
	}

	type delMarkerExpiration DelMarkerExpiration
	return enc.EncodeElement(delMarkerExpiration(de), start)
}

// NextDue returns upcoming DelMarkerExpiration date for obj if
// applicable, returns false otherwise.
func (de DelMarkerExpiration) NextDue(obj ObjectOpts) (time.Time, bool) {
	if !obj.IsLatest || !obj.DeleteMarker {
		return time.Time{}, false
	}

# ADR-0003 - Avoid introducing Groovy types to public API

## Date

2024-01-12

## Context

Gradle's public API requires equal access from all JVM-based languages.
Kotlin, Groovy, Java, and other JVM-based languages should be able to use the Gradle API without relying on another language's standard library.

Historically, Gradle has shipped with some Groovy types in very prominent APIs.

	"$key":                     true,
	"$success_action_redirect": true,
	"$redirect":                true,
	"$success_action_status":   true,
	"$x-amz-algorithm":         false,
	"$x-amz-credential":        false,
	"$x-amz-date":              false,
	"$tagging":                 false,
}

// Add policy conditionals.
const (
	policyCondEqual         = "eq"
	policyCondStartsWith    = "starts-with"

Ось приклад стандартного Python-коду з типами:

```Python
from datetime import date
from pydantic import BaseModel

# Оголошення змінної як str
# з підтримкою автодоповнення у редакторі
def main(user_id: str):
    return user_id

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

Приклад використання цієї моделі:

```Python

     */
    @Deprecated
    String getBaseDirectory();

    // Timing (remove this)
    @Deprecated
    MavenExecutionRequest setStartTime(Date start);

    @Deprecated
    Date getStartTime();

    MavenExecutionRequest setStartInstant(Instant start);

    Instant getStartInstant();

    // Goals
    MavenExecutionRequest setGoals(List<String> goals);

You write standard Python with types:

```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
```

That can then be used like:

```Python

```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

{* ../../docs_src/sub_applications/tutorial001_py39.py hl[11, 19] *}

### Die automatische API-Dokumentation testen { #check-the-automatic-api-docs }

Führen Sie nun den `fastapi`-Befehl mit Ihrer Datei aus:

<div class="termy">

```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>

Sie können dieselben Abhängigkeits-*Funktionen* verwenden, die Sie normalerweise verwenden.

### Abhängigkeitsanforderungen { #dependency-requirements }

Sie können Anforderungen für einen <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Request</abbr> (wie Header) oder andere Unterabhängigkeiten deklarieren:

{* ../../docs_src/dependencies/tutorial006_an_py39.py hl[8,13] *}

### Exceptions auslösen { #raise-exceptions }

# Webhooks de OpenAPI { #openapi-webhooks }

Hay casos donde quieres decirle a los **usuarios** de tu API que tu aplicación podría llamar a *su* aplicación (enviando una request) con algunos datos, normalmente para **notificar** de algún tipo de **evento**.

Esto significa que en lugar del proceso normal de tus usuarios enviando requests a tu API, es **tu API** (o tu aplicación) la que podría **enviar requests a su sistema** (a su API, su aplicación).