parallelization: (Int) -> ParallelizationMethod
    ): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.
        // As a workaround, we repeat the bucket N times, and deduplicate the result at the end
        val resultIncludingDuplicates = splitIntoBuckets(

def read_item(item_id: int, q: Union[str, None] = None):
    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>Və ya <code>async def</code>...</summary>

Əgər kodunuzda `async` və ya `await` vardırsa `async def` istifadə edə bilərik:

```Python hl_lines="9  14"
from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/")
async def read_root():

**FastAPI** est complètement compatible (et basé sur) <a href="https://www.starlette.io/" class="external-link" target="_blank"><strong>Starlette</strong></a>. Le code utilisant Starlette que vous ajouterez fonctionnera donc aussi.

En fait, `FastAPI` est un sous composant de `Starlette`. Donc, si vous savez déjà comment utiliser Starlette, la plupart des fonctionnalités fonctionneront de la même manière.

            super.process(consumer);
            latch.countDown();
        }

        @Override
        public void waitForProcessed() throws InterruptedException {
            latch.await();
        }
    }

of releasing and managing open source software. We’ve seen incredible support and enthusiasm from
thousands of people who have already contributed to our projects — and we want to ensure our community
continues to be truly open for everyone.

This code of conduct outlines our expectations for participants, as well as steps to reporting

    , ⚫️ 🚂 🔢 👈 📨 "🏭" 👷 🕳 🙆 🔘.

    🔨 ⚫️ 👉 🌌, 👥 💪 🚮 ⚫️ `with` 🍫, & 👈 🌌, 🚚 👈 ⚫️ 📪 ⏮️ 🏁.

/// tip

👀 👈 📥 👥 ⚙️ 🐩 `open()` 👈 🚫 🐕‍🦺 `async` & `await`, 👥 📣 ➡ 🛠️ ⏮️ 😐 `def`.

///

### `FileResponse`

🔁 🎏 📁 📨.

✊ 🎏 ⚒ ❌ 🔗 🌘 🎏 📨 🆎:

* `path` - 📁 📁 🎏.
* `headers` - 🙆 🛃 🎚 🔌, 📖.

 * Converter.apply (like Converter.convert) is capable of accepting null inputs. However, a
 * supertype of `Function<A, B>` turns out to be massively more useful to callers in practice: They
 * want their output to be non-null in operations like `stream.map(myConverter)`, and we can
 * guarantee that as long as we also require the input type to be non-null[*] (which is a
 * requirement that existing callers already fulfill).

    if (!listRead.get() && listRead.compareAndSet(false, true)) {
      readTheListUninterruptibly()
    } else {
      try {
        readCompleteLatch.await()
      } catch (_: InterruptedException) {
        Thread.currentThread().interrupt() // Retain interrupted status.
      }
    }

    check(::publicSuffixListBytes.isInitialized) {

 * with your desired config. It's base implementation {@link jcifs.context.BaseContext}
 * should be sufficient for most needs.
 * 
 * If you want to retain the classic singleton behavior you can use
 * {@link jcifs.context.SingletonContext#getInstance()}
 * witch is initialized using system properties.
 * 
 */
@SuppressWarnings ( "javadoc" )
public class Config {

        super.init(config);

        Properties p = new Properties();
        p.putAll(System.getProperties());
        /*
         * Set jcifs properties we know we want; soTimeout and cachePolicy to 10min.
         */
        p.setProperty("jcifs.smb.client.soTimeout", "300000");
        p.setProperty("jcifs.netbios.cachePolicy", "600");