// and success cases.
func TestCrossDeviceMountPaths(t *testing.T) {
	successCase := `/dev/0 /path/to/0/1 type0 flags 0 0
		/dev/1    /path/to/1   type1	flags 1 1
		/dev/2 /path/to/1/2 type2 flags,1,2=3 2 2
                /dev/3 /path/to/1.1 type3 flags,1,2=3 3 3
		`
	var err error
	dir := t.TempDir()
	mountsPath := filepath.Join(dir, "mounts")

import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.TYPE;
import static java.lang.annotation.RetentionPolicy.RUNTIME;

@Target({FIELD, METHOD, TYPE})
@Retention(RUNTIME)
@Documented
public @interface Typed {
    Class<?>[] value() default {};

        when:
        def link = renderer.link(type('some.other.Class', true), listener)

        then:
        format(link) == '<classname><classname>some.other.Class</classname>[]</classname>'
    }

    def rendersLinkToParameterizedType() {
        def metaData = type('org.gradle.SomeClass')
        metaData.addTypeArg(type('Type1'))
        metaData.addTypeArg(type('Type2'))

        when:

Todo **FastAPI** está basado en estos type hints, lo que le da muchas ventajas y beneficios.

Pero, así nunca uses **FastAPI** te beneficiarás de aprender un poco sobre los type hints.

/// note | Nota

Si eres un experto en Python y ya lo sabes todo sobre los type hints, salta al siguiente capítulo.

~~ under the License.

 ---
 Default Dependency Types
 ---
 Hervé Boutemy
 ---
 2024-04-02
 ---

Default Dependency Types Reference

  Defined in <<<DefaultTypeProvider>>>
  ({{{./apidocs/org/apache/maven/repository/internal/type/DefaultTypeProvider.html}javadoc}},
  {{{./xref/org/apache/maven/repository/internal/type/DefaultTypeProvider.html}source}}):

* Sie können alle gültigen Pydantic-Datentypen hier überprüfen: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Beispiel

Hier ist ein Beispiel für eine *Pfadoperation* mit Parametern, die einige der oben genannten Typen verwenden.

//// tab | Python 3.10+

```Python hl_lines="1  3  12-16"

Steve B <******@****.***> 1557567827 +0200

    * In requests and responses, handled the same as a `float`.
* You can check all the valid Pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example

Here's an example *path operation* with parameters using some of the above types.

//// tab | Python 3.10+

```Python hl_lines="1  3  12-16"

package dns

import (
	"encoding/json"
	"time"
)

const (
	defaultTTL            = 30
	defaultContextTimeout = 5 * time.Minute
)

// SrvRecord - represents a DNS service record
type SrvRecord struct {
	Host     string      `json:"host,omitempty"`
	Port     json.Number `json:"port,omitempty"`
	Priority int         `json:"priority,omitempty"`
	Weight   int         `json:"weight,omitempty"`

import types
from enum import Enum
from typing import Any, Callable, Dict, Set, Type, TypeVar, Union

from pydantic import BaseModel

DecoratedCallable = TypeVar("DecoratedCallable", bound=Callable[..., Any])
UnionType = getattr(types, "UnionType", Union)
ModelNameMap = Dict[Union[Type[BaseModel], Type[Enum]], str]