cpuNice:           "CPU nice time",
		cpuLoad1:          "CPU load average 1min",
		cpuLoad5:          "CPU load average 5min",
		cpuLoad15:         "CPU load average 15min",
		cpuLoad1Perc:      "CPU load average 1min (percentage)",
		cpuLoad5Perc:      "CPU load average 5min (percentage)",
		cpuLoad15Perc:     "CPU load average 15min (percentage)",
	}
	resourceMetricsGroups = []*MetricsGroupV2{

from fastapi import FastAPI


def fake_answer_to_everything_ml_model(x: float):
    return x * 42


ml_models = {}


@asynccontextmanager
async def lifespan(app: FastAPI):
    # Load the ML model
    ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
    yield
    # Clean up the ML models and release the resources
    ml_models.clear()


app = FastAPI(lifespan=lifespan)

## 코드 실행하기

모든 코드 블록은 복사하여 바로 사용할 수 있습니다(실제로 테스트된 파이썬 파일입니다).

예제를 실행하려면 코드를 `main.py` 파일에 복사하고 다음을 사용하여 `uvicorn`을 시작합니다:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
<span style="color: green;">INFO</span>:     Started reloader process [28720]

from starlette.datastructures import State as State  # noqa: F401
from starlette.datastructures import UploadFile as StarletteUploadFile


class UploadFile(StarletteUploadFile):
    """
    A file uploaded in a request.

    Define it as a *path operation function* (or dependency) parameter.

    If you are using a regular `def` function, you can use the `upload_file.file`

  private Class<?> settableFutureClass;
  private Class<?> abstractFutureClass;

  @Override
  protected void setUp() throws Exception {
    // Load the "normal" copy of SettableFuture and related classes.
    SettableFuture<?> unused = SettableFuture.create();
    // Hack to load AbstractFuture et. al. in a new classloader so that it re-reads the cancellation

    with warnings.catch_warnings(record=True):
        warnings.simplefilter("always")
        mod = importlib.import_module(f"docs_src.sql_databases.{request.param}")
        clear_sqlmodel()
        importlib.reload(mod)
    mod.sqlite_url = "sqlite://"
    mod.engine = create_engine(
        mod.sqlite_url, connect_args={"check_same_thread": False}, poolclass=StaticPool
    )

    with TestClient(mod.app) as c:
        yield c

((!this._config.allowDuplicates && $(`#${navId}`).length === 0) || this._config.allowDuplicates) {\n      this.createTab(title, link, uniqueName, autoOpen)\n    }\n  }\n\n  switchTab(item, reload = false) {\n    const $item = $(item)\n    const tabId = $item.attr('href')\n\n    $(SELECTOR_TAB_EMPTY).hide()\n\n    if (reload) {\n      const $loadingScreen = $(SELECTOR_TAB_LOADING)\n      if (this._config.loadingScreen) {\n        $loadingScreen.show(0, () => {\n          $(`${tabId} iframe`).attr('src',...

public class SimpleClassMetaDataRepository<T extends Attachable<T>> implements ClassMetaDataRepository<T> {
    private final Map<String, T> classes = new TreeMap<>();

    @SuppressWarnings("unchecked")
    public void load(File repoFile) {
        try {
            FileInputStream inputStream = new FileInputStream(repoFile);
            try {

	defer locker.Unlock(lkctx)

	// Load healing tracker in this disk
	tracker, err := loadHealingTracker(ctx, disk)
	if err != nil {
		// A healing tracker may be deleted if another disk in the
		// same erasure set with same healing-id successfully finished
		// healing.
		if errors.Is(err, errFileNotFound) {
			return nil
		}

	latency := make(map[time.Duration]uint64, len(k.latencyBuckets))
	for i, b := range k.latencyBuckets {
		latency[b] = k.latency[i].Load()
	}

	return &Metrics{
		ReqOK:   k.reqOK.Load(),
		ReqErr:  k.reqErr.Load(),
		ReqFail: k.reqFail.Load(),
		Latency: latency,
	}, nil
}

// Status returns status information about the KMS.
//