from typing import Union

import pytest
from fastapi import Body, Cookie, FastAPI, Header, Path, Query
from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.testclient import TestClient
from pydantic import BaseModel, ConfigDict


def create_app():
    app = FastAPI()

    class Item(BaseModel):
        data: str

        model_config = ConfigDict(

### 型パラメータを持つジェネリック型

データ構造の中には、`dict`、`list`、`set`、そして`tuple`のように他の値を含むことができるものがあります。また内部の値も独自の型を持つことができます。

これらの型や内部の型を宣言するには、Pythonの標準モジュール`typing`を使用します。

これらの型ヒントをサポートするために特別に存在しています。

#### `List`

例えば、`str`の`list`の変数を定義してみましょう。

`typing`から`List`をインポートします（大文字の`L`を含む）:

{* ../../docs_src/python_types/tutorial006.py hl[1] *}


同じようにコロン（`:`）の構文で変数を宣言します。

型として、`List`を入力します。

* Валидация **сложных структур**:
    * Использование иерархических моделей Pydantic; `List`, `Dict` и т. п. из модуля `typing` (входит в стандартную библиотеку Python).
    * Валидаторы позволяют чётко и легко определять, проверять и документировать сложные схемы данных в виде JSON Schema.

The links and the invocations' status can then be printed out, or output in the
form of JUnit-based XML.
"""
import argparse
import datetime
import os
import re
from typing import Dict, Union
import xml.etree.ElementTree as ElemTree


ResultDictType = Dict[str, Dict[str, Union[str, int]]]

RESULT_STORE_LINK_RE = re.compile(
    r'^INFO: Streaming build results to: (https://[\w./\-]+)')

* Valida **estruturas complexas**:
    * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.
    * Validadores permitem que esquemas de dados complexos sejam limpos e facilmente definidos, conferidos e documentados como JSON Schema.

* Valida **estructuras complejas**:
    * Uso de modelos jerárquicos de Pydantic, `List` y `Dict` de `typing` de Python, etc.
    * Y los validadores permiten definir, verificar y documentar de manera clara y fácil esquemas de datos complejos como JSON Schema.

from collections.abc import Iterable, Mapping
from enum import Enum
from typing import Annotated, Any, Callable, Optional, Union

from fastapi._compat import with_info_plain_validator_function
from fastapi.logger import logger
from pydantic import (
    AnyUrl,
    BaseModel,
    Field,
    GetJsonSchemaHandler,
)
from typing_extensions import Literal, TypedDict
from typing_extensions import deprecated as typing_deprecated

try:

To achieve that, first import:

* `Query` from `fastapi`
* `Annotated` from `typing`

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[1,3] *}

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

import warnings
from collections.abc import Sequence
from dataclasses import dataclass
from enum import Enum
from typing import Annotated, Any, Callable, Optional, Union

from fastapi.exceptions import FastAPIDeprecationWarning
from fastapi.openapi.models import Example
from pydantic import AliasChoices, AliasPath
from pydantic.fields import FieldInfo
from typing_extensions import Literal, deprecated

from ._compat import (
    Undefined,
)

import re
import warnings
from collections.abc import Sequence
from copy import copy, deepcopy
from dataclasses import dataclass, is_dataclass
from enum import Enum
from functools import lru_cache
from typing import (
    Annotated,
    Any,
    Union,
    cast,
)

from fastapi._compat import shared
from fastapi.openapi.constants import REF_TEMPLATE
from fastapi.types import IncEx, ModelNameMap, UnionType