labels.search_result_sort_score_desc=by Score
labels.search_result_sort_filename_asc=by Filename (asc)
labels.search_result_sort_filename_desc=by Filename (desc)
labels.search_result_sort_created_asc=by Date (asc)
labels.search_result_sort_created_desc=by Date (desc)
labels.search_result_sort_content_length_asc=by Size (asc)
labels.search_result_sort_content_length_desc=by Size (desc)
labels.search_result_sort_last_modified_asc=by Last Modified (asc)

                    "Which performance test to run. Should be the fully qualified class name dot (unrolled) method name. " +
                        "E.g. org.gradle.performance.regression.java.JavaUpToDatePerformanceTest.up-to-date assemble (parallel true)",
            )
            text(
                "testJavaVersion",
                "17",
                display = ParameterDisplay.PROMPT,
                allowEmpty = false,

    /**
     * Set to true if you want the current date and time to be included in output messages. Default is false.
     *
     * @since 4.0.0
     */
    @Config(type = "java.lang.Boolean", defaultValue = "false")
    public static final String MAVEN_LOGGER_SHOW_DATE_TIME = MAVEN_LOGGER_PREFIX + "showDateTime";

    /**

httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

Der möglicherweise wichtigste Teil des Callbacks besteht jedoch darin, sicherzustellen, dass Ihr API-Benutzer (der externe Entwickler) die *externe API* gemäß den Daten, die *Ihre API* im Requestbody des Callbacks senden wird, korrekt implementiert, usw.

Als Nächstes fügen wir den Code hinzu, um zu dokumentieren, wie diese *externe API* aussehen sollte, um den Callback von *Ihrer API* zu empfangen.

import java.io.File;
import java.io.PrintStream;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;

import java.io.IOException;
import java.io.InputStreamReader;
import java.lang.management.ManagementFactory;
import java.text.SimpleDateFormat;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicBoolean;

## 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

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