{% endif %}
{% endfor %}

</div>

{% endfor %}
{% endif %}

## About the data - technical details

The main intention of this page is to highlight the effort of the community to help others.

      <scope>test</scope>
    </dependency>
  </dependencies>

  <build>
    <resources>
      <resource>
        <filtering>true</filtering>
        <directory>src/main/resources</directory>
      </resource>
    </resources>
    <pluginManagement>
      <plugins>
        <plugin>
          <groupId>org.apache.rat</groupId>
          <artifactId>apache-rat-plugin</artifactId>

    deprecated: Optional[bool] = None
    readOnly: Optional[bool] = None
    writeOnly: Optional[bool] = None
    examples: Optional[list[Any]] = None
    # Ref: OpenAPI 3.1.0: https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.1.0.md#schema-object
    # Schema Object
    discriminator: Optional[Discriminator] = None
    xml: Optional[XML] = None
    externalDocs: Optional[ExternalDocumentation] = None
    example: Annotated[

        File pluginFile = (pluginArtifact != null) ? pluginArtifact.getFile() : null;
        if (pluginFile == null) {
            throw new IllegalStateException("plugin main artifact has not been resolved for " + getId());
        }

        if (pluginFile.isFile()) {
            try {
                return new URL("jar:" + pluginFile.toURI() + "!/" + descriptor).openStream();

* Data validation
* API annotation and automatic documentation

And you only have to declare them once.

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

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

编写带有类型标注的标准 Python：

```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
```

可以像这样来使用：

```Python

package lex

import (
	"fmt"
	"os"
	"path/filepath"
	"slices"
	"strconv"
	"strings"
	"text/scanner"

	"cmd/asm/internal/flags"
	"cmd/internal/objabi"
	"cmd/internal/src"
)

// Input is the main input: a stack of readers and some macro definitions.
// It also handles #include processing (by pushing onto the input stack)
// and parses and instantiates macro definitions.
type Input struct {
	Stack

    clear directions next to the object code saying where to find the
    Corresponding Source.  Regardless of what server hosts the
    Corresponding Source, you remain obligated to ensure that it is
    available for as long as needed to satisfy these requirements.

    e) Convey the object code using peer-to-peer transmission, provided