Vous pouvez donc revenir et voir exactement ce dont vous avez besoin.

## Exécuter le code

Tous les blocs de code peuvent être copiés et utilisés directement (il s'agit en fait de fichiers Python testés).

Pour exécuter l'un de ces exemples, copiez le code dans un fichier `main.py`, et commencez `uvicorn` avec :

<div class="termy">

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

            text(
                "performance.baselines",
                "",
                display = ParameterDisplay.PROMPT,
                allowEmpty = true,
                description = "The baselines you want to run performance tests against. Empty means default baseline.",
            )
            text(
                "testProject",
                "",
                display = ParameterDisplay.PROMPT,

			if w == nil {
				disks[i] = OfflineDisk
			}
		}
		if err == nil {
			if length := int64(len(data[test.offset:])); n != length {
				t.Errorf("Test %d: invalid number of bytes written: got: #%d want #%d", i, n, length)
			}
			writers := make([]io.Writer, len(disks))
			for i, disk := range disks {
				if disk == nil {
					continue
				}

        new UncaughtExceptionHandler() {
          @Override
          public void uncaughtException(Thread t, Throwable e) {}
        });
    thread.start();

    boolean done = doneSignal.await(1, SECONDS);
    if (!done) {
      StringBuilder builder = new StringBuilder();
      for (StackTraceElement trace : thread.getStackTrace()) {
        builder.append("\tat ").append(trace).append('\n');
      }

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

<details markdown="1">
<summary>অথবা ব্যবহার করুন <code>async def</code>...</summary>

যদি আপনার কোড `async` / `await`, ব্যবহার করে তাহলে `async def` ব্যবহার করুন:

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

from fastapi import FastAPI

app = FastAPI()


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

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

<details markdown="1">
<summary>Vagy használd az <code>async def</code>-et...</summary>

Ha a kódod `async` / `await`-et, használ `async def`:

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

from fastapi import FastAPI

app = FastAPI()


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

    return {"item_id": item_id, "q": q}
```

<details markdown="1">
<summary>Hoặc sử dụng <code>async def</code>...</summary>

Nếu code của bạn sử dụng `async` / `await`, hãy sử dụng `async def`:

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

from fastapi import FastAPI

app = FastAPI()


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

      // the result will definitely fit into a long
      long result = 1;
      for (int i = n1 + 1; i <= n2; i++) {
        result *= i;
      }
      return BigInteger.valueOf(result);
    }

    /*
     * We want each multiplication to have both sides with approximately the same number of digits.
     * Currently, we just divide the range in half.
     */
    int mid = (n1 + n2) >>> 1;

name: Contributor CI Build

on:
  push:
    branches:
      - master
  pull_request:
    branches:
      - master

concurrency:
  # On master/release, we don't want any jobs cancelled so the sha is used to name the group
  group: ${{ (github.ref == 'refs/heads/master' || github.ref == 'refs/heads/release' ) && format('contributor-pr-base-{0}', github.sha) || format('contributor-pr-{0}', github.ref) }}
  cancel-in-progress: false

env:

issues with Docker 1.9.1 can be found below.
  * CPU hardcapping will be enabled by default for containers with CPU limit set,
if supported by the kernel. You should either adjust your CPU limit, or set CPU
request only, if you want to avoid hardcapping. If the kernel does not support
CPU Quota, NodeStatus will contain a warning indicating that CPU Limits cannot
be enforced.