Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

* `Decimal`:
    * `Decimal` estándar de Python.
    * En requests y responses, manejado igual que un `float`.
* Puedes revisar todos los tipos de datos válidos de Pydantic aquí: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Tipos de datos de Pydantic</a>.

## Ejemplo { #example }

Aquí tienes un ejemplo de una *path operation* con parámetros usando algunos de los tipos anteriores.

    * 生成的模式将指定这个 `str` 是 `binary` "格式"。
* `Decimal`:
    * 标准的 Python `Decimal`。
    * 在请求和响应中被当做 `float` 一样处理。
* 您可以在这里检查所有有效的pydantic数据类型: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>.

## 例子

下面是一个*路径操作*的示例，其中的参数使用了上面的一些类型。

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

注意，函数内的参数有原生的数据类型，你可以，例如，执行正常的日期操作，如:

    * Стандартний Пайтонівський `Decimal`.
    * У запитах і відповідях це буде оброблено так само, як і `float`.
* Ви можете перевірити всі дійсні типи даних Pydantic тут: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">типи даних Pydantic</a>.

## Приклад

Ось приклад *path operation* з параметрами, використовуючи деякі з вищезазначених типів.

Klaus Post <******@****.***> 1740771188 -0800

Klaus Post <******@****.***> 1756435188 +0200

# 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.

  public void testNewArrayType_upperBoundedWildcard() {
    Type wildcard = Types.subtypeOf(Number.class);
    assertEquals(Types.subtypeOf(Number[].class), Types.newArrayType(wildcard));
  }

  public void testNewArrayType_lowerBoundedWildcard() {
    Type wildcard = Types.supertypeOf(Number.class);
    assertEquals(Types.supertypeOf(Number[].class), Types.newArrayType(wildcard));
  }

  public void testNewArrayType_serializable() {

pkg go/types, method (*TypeParam) Obj() *TypeName
pkg go/types, method (*TypeParam) SetConstraint(Type)
pkg go/types, method (*TypeParam) String() string
pkg go/types, method (*TypeParam) Underlying() Type
pkg go/types, method (*TypeParamList) At(int) *TypeParam
pkg go/types, method (*TypeParamList) Len() int
pkg go/types, method (*Union) Len() int
pkg go/types, method (*Union) String() string
pkg go/types, method (*Union) Term(int) *Term

import java.util.Set;

/**
 * Contains static utility methods pertaining to primitive types and their corresponding wrapper
 * types.
 *
 * @author Kevin Bourrillion
 * @since 1.0
 */
@GwtCompatible
public final class Primitives {
  private Primitives() {}

  /** A map from primitive types to their corresponding wrapper types. */
  // It's a constant, and we can't use ImmutableMap here without creating a circular dependency.