name: Go ${{ matrix.go-version }} on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        go-version: [1.24.x]
        os: [ubuntu-latest]
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-go@v5
        with:
          go-version: ${{ matrix.go-version }}
          check-latest: true
      - name: Build on ${{ matrix.os }}
        if: matrix.os == 'ubuntu-latest'

    return user_id

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

Приклад використання цієї моделі:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Інформація

	"github.com/minio/sio"
)

// ObjectKey is a 256 bit secret key used to encrypt the object.
// It must never be stored in plaintext.
type ObjectKey [32]byte

// GenerateKey generates a unique ObjectKey from a 256 bit external key
// and a source of randomness. If random is nil the default PRNG of the
// system (crypto/rand) is used.
func GenerateKey(extKey []byte, random io.Reader) (key ObjectKey) {
	if random == nil {

			},
		},
		// ListObjectsResult-6.
		// Used for Asserting prefixes.
		// Used for test case with prefix = "obj", (testCase 30).
		6: {
			IsTruncated: false,
			Objects: []ObjectInfo{
				{Name: "obj0"},
				{Name: "obj1"},
				{Name: "obj2"},
			},
		},
		// ListObjectsResult-7.
		// Used for Asserting prefixes and truncation.
		// Used for test case with prefix = "new" and maxKeys = 1, (testCase 31).

 *
 * <p>To compute quartiles, use {@link #quartiles()} instead of {@link #percentiles()}. To compute
 * arbitrary q-quantiles, use {@link #scale scale(q)}.
 *
 * <p>These examples all take a copy of your dataset. If you have a double array, you are okay with
 * it being arbitrarily reordered, and you want to avoid that copy, you can use {@code
 * computeInPlace} instead of {@code compute}.
 *

    assertThat(response.request.header("User-Agent")).isNotNull()
    assertThat(response.request.header("User-Agent")).isEqualTo("user request")
    assertThat(response.networkResponse!!.request.header("User-Agent")).isEqualTo(
      "intercepted request",
    )
  }

  @Test
  fun applicationInterceptorThrowsRuntimeExceptionAsynchronous() {

### Using your local FastAPI

If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.

And if you update that local FastAPI source code when you run that Python file again, it will use the fresh version of FastAPI you just edited.

        Class<?> cls = (Class<?>) type;
        checkArgument(!cls.isPrimitive(), "Primitive type '%s' used as %s", cls, usedAs);
      }
    }
  }

  /** Returns the {@code Class} object of arrays with {@code componentType}. */
  static Class<?> getArrayClass(Class<?> componentType) {
    // TODO(user): This is not the most efficient way to handle generic
    // arrays, but is there another way to extract the array class in a

             <b>fastapi run</b>

             Logs:

     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Will watch for changes in these directories:
             <b>[</b><font color="#4E9A06">&apos;/home/user/code/awesomeapp&apos;</font><b>]</b>

 * try (Response response = call.execute()) {
 * ... // Use the response.
 * }
 * ```
 *
 * You can use a similar block for asynchronous calls:
 *
 * ```java
 * Call call = client.newCall(request);
 * call.enqueue(new Callback() {
 *   public void onResponse(Call call, Response response) throws IOException {
 *     try (ResponseBody responseBody = response.body()) {
 *     ... // Use the response.
 *     }
 *   }
 *