new CyclicBarrier(
            6 // for the setter threads
                + 50 // for the listeners
                + 50 // for the blocking get threads,
                + 1); // for the main thread
    final ExecutorService executor = Executors.newFixedThreadPool(barrier.getParties());
    final AtomicReference<AbstractFuture<String>> currentFuture = Atomics.newReference();

    // need a long enough string for the buffer to hit 0 remaining before the copy completes
    String string = Strings.repeat("0123456789", 100);
    StringBuilder b = new StringBuilder();
    // the main assertion of this test is here... the copy will fail if the buffer size goes down
    // each time it is not filled completely
    long copied = CharStreams.copy(newNonBufferFillingReader(new StringReader(string)), b);

    private BelowAll() {
      /*
       * No code ever sees this bogus value for `endpoint`: This class overrides both methods that
       * use the `endpoint` field, compareTo() and endpoint(). Additionally, the main implementation
       * of Cut.compareTo checks for belowAll before reading accessing `endpoint` on another Cut
       * instance.
       */
      super("");
    }

    @Override

    // need a long enough string for the buffer to hit 0 remaining before the copy completes
    String string = Strings.repeat("0123456789", 100);
    StringBuilder b = new StringBuilder();
    // the main assertion of this test is here... the copy will fail if the buffer size goes down
    // each time it is not filled completely
    long copied = CharStreams.copy(newNonBufferFillingReader(new StringReader(string)), b);

With **FastAPI** you can take advantage of concurrency that is very common for web development (the same main attraction of NodeJS).

But you can also exploit the benefits of parallelism and multiprocessing (having multiple processes running in parallel) for **CPU bound** workloads like those in Machine Learning systems.

DATA_KEY = 'lte.layout'\nconst JQUERY_NO_CONFLICT = $.fn[NAME]\n\nconst SELECTOR_HEADER = '.main-header'\nconst SELECTOR_MAIN_SIDEBAR = '.main-sidebar'\nconst SELECTOR_SIDEBAR = '.main-sidebar .sidebar'\nconst SELECTOR_CONTENT = '.content-wrapper'\nconst SELECTOR_CONTROL_SIDEBAR_CONTENT = '.control-sidebar-content'\nconst SELECTOR_CONTROL_SIDEBAR_BTN = '[data-widget=\"control-sidebar\"]'\nconst SELECTOR_FOOTER = '.main-footer'\nconst SELECTOR_PUSHMENU_BTN = '[data-widget=\"pushmenu\"]'\nconst SELECTOR_LOGIN_BOX...

        File pluginFile = (pluginArtifact != null) ? pluginArtifact.getFile() : null;
        if (pluginFile == null) {
            throw new IllegalStateException("plugin main artifact has not been resolved for " + getId());
        }

        if (pluginFile.isFile()) {
            try {
                return new URL("jar:" + pluginFile.toURI() + "!/" + descriptor).openStream();

* Data validation
* API annotation and automatic documentation

And you only have to declare them once.

```Python
from datetime import date

from pydantic import BaseModel

# Объявляем параметр user_id с типом `str`
# и получаем поддержку редактора внутри функции
def main(user_id: str):
    return user_id


# Модель Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Это можно использовать так:

```Python

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient


@pytest.fixture(name="client")
def get_client():
    from docs_src.bigger_applications.app.main import app

    client = TestClient(app)
    return client


def test_users_token_jessica(client: TestClient):
    response = client.get("/users?token=jessica")
    assert response.status_code == 200