`@lru_cache` ist Teil von `functools`, welches Teil von Pythons Standardbibliothek ist. Weitere Informationen dazu finden Sie in der <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python Dokumentation für `@lru_cache`</a>.

## Zusammenfassung { #recap }

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

import json
import secrets
import subprocess
from collections.abc import Iterable
from functools import lru_cache
from os import sep as pathsep
from pathlib import Path
from typing import Annotated

import git
import typer
import yaml
from github import Github
from pydantic_ai import Agent
from rich import print

non_translated_sections = (
    f"reference{pathsep}",
    "release-notes.md",
    "fastapi-people.md",

* Start Portuguese translations. PR [#1210](https://github.com/tiangolo/fastapi/pull/1210) by [@cassiobotaro](https://github.com/cassiobotaro).
* Update docs for Pydantic's `Settings` using a dependency with `@lru_cache()`. PR [#1214](https://github.com/tiangolo/fastapi/pull/1214).