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# under the License.

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  pull_request_target:
    types:
      - closed

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  pr-automation:
    name: PR Automation

import importlib
from types import ModuleType
from typing import Annotated, Any
from unittest.mock import Mock, patch

import pytest
from fastapi import Depends, FastAPI
from fastapi.testclient import TestClient


@pytest.fixture(
    name="module",
    params=[
        "tutorial008_py39",
        # Fails with `NameError: name 'DepA' is not defined`
        pytest.param("tutorial008_an_py39", marks=pytest.mark.xfail),
    ],
)

    return containsKey(key) ? unfiltered.removeAll(key) : unmodifiableEmptyCollection();
  }

  @SuppressWarnings("EmptyList") // ImmutableList doesn't support nullable element types
  Collection<V> unmodifiableEmptyCollection() {
    if (unfiltered instanceof SetMultimap) {
      return emptySet();
    } else {
      return emptyList();
    }
  }

  @Override
  public void clear() {

Hug was one of the first frameworks to implement the declaration of API parameter types using Python type hints. This was a great idea that inspired other tools to do the same.

It used custom types in its declarations instead of standard Python types, but it was still a huge step forward.

It also was one of the first frameworks to generate a custom schema declaring the whole API in JSON.

 * case of (say) {@link HashSet}, which is an <i>implementation</i>, with semantics that were
 * largely defined by its supertype.
 *
 * <p>For field types and method return types, you should generally use the immutable type (such as
 * {@link ImmutableList}) instead of the general collection interface type (such as {@link List}).

 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs;

/**
 * Enumeration of usable resolver types
 *
 * @author mbechler
 *
 */
public enum ResolverType {
    /**
     * Resolve using WINS server
     */
    RESOLVER_WINS,

    /**
     * NETBIOS broadcast
     */
    RESOLVER_BCAST,

import importlib
from types import ModuleType
from unittest.mock import patch

import pytest

from ...utils import needs_py310


@pytest.fixture(
    name="module",
    params=[
        pytest.param("tutorial009_py39"),
        pytest.param("tutorial009_py310", marks=needs_py310),
        pytest.param("tutorial009b_py39"),
    ],
)
def get_module(request: pytest.FixtureRequest):

import importlib
import re
from types import ModuleType
from unittest.mock import patch

import pytest

from ...utils import needs_py310


@pytest.fixture(
    name="module",
    params=[
        pytest.param("tutorial009c_py39"),
        pytest.param("tutorial009c_py310", marks=needs_py310),
    ],
)
def get_module(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.python_types.{request.param}")

    * JSON.
    * Path parameters.
    * Query parameters.
    * Cookies.
    * Headers.
    * Forms.
    * Files.
* <abbr title="also known as: serialization, parsing, marshalling">Conversion</abbr> of output data: converting from Python data and types to network data (as JSON):
    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).

* Validación de datos
* Documentación automática

## Tipos especiales y validación { #special-types-and-validation }

Además de tipos singulares normales como `str`, `int`, `float`, etc., puedes usar tipos singulares más complejos que heredan de `str`.