func TestConvertToCreateValues_DestType_Slice(t *testing.T) {
	type user struct {
		ID    int `gorm:"primaryKey"`
		Name  string
		Email string `gorm:"default:(-)"`
		Age   int    `gorm:"default:(-)"`
	}

	s, err := schema.Parse(&user{}, schemaCache, schema.NamingStrategy{})
	if err != nil {
		t.Errorf("parse schema error: %v, is not expected", err)
		return
	}
	dest := []*user{
		{
			ID:    1,
			Name:  "alice",

        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

### 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.

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```
Але Ви також можете оголосити декілька параметрів тіла, наприклад `item` та `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

У цьому випадку **FastAPI** розпізнає, що є кілька параметрів тіла (два параметри є моделями Pydantic).

  static final String NODE_REMOVED_FROM_GRAPH =
      "Node %s that was used to generate this set is no longer in the graph.";
  static final String NODE_PAIR_REMOVED_FROM_GRAPH =
      "Node %s or node %s that were used to generate this set are no longer in the graph.";
  static final String EDGE_REMOVED_FROM_GRAPH =
      "Edge %s that was used to generate this set is no longer in the graph.";
  static final String REUSING_EDGE =

permissions:
  contents: read

jobs:
  build:
    name: PyLint
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@08c6903cd8c0fde910a37f88322edcfb5dd907a8 # v5.0.0
    - name: Get file changes
      id: get_file_changes
      uses: trilom/file-changes-action@a6ca26c14274c33b15e6499323aac178af06ad4b # v1.2.4
      with:
        output: ' '
    - name: Report list of changed files

     * Test getting the account name.
     */
    @Test
    void testGetAccountName() {
        rpc.sid_t rpcSid = new rpc.sid_t();
        SID sid = new SID(rpcSid, SID.SID_TYPE_USER, "DOMAIN", "user", false);
        assertEquals("user", sid.getAccountName());

        SID domainSid = new SID(rpcSid, SID.SID_TYPE_DOMAIN, "DOMAIN", null, false);
        assertEquals("", domainSid.getAccountName());

        return "{" + authResult.account().username() + "}";
    }

    /**
     * Gets the Azure AD user associated with this credential.
     * @return The Azure AD user instance.
     */
    public AzureAdUser getUser() {
        return new AzureAdUser(authResult);
    }

    /**
     * Azure AD user implementation providing user information and permissions.
     */
    public static class AzureAdUser implements FessUser {

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

Pero también puedes declarar múltiples parámetros del cuerpo, por ejemplo `item` y `user`:

{* ../../docs_src/body_multiple_params/tutorial002_py310.py hl[20] *}

En este caso, **FastAPI** notará que hay más de un parámetro del cuerpo en la función (hay dos parámetros que son modelos de Pydantic).

	h.Uid = int(sys.Uid)
	h.Gid = int(sys.Gid)
	if doNameLookups {
		// Best effort at populating Uname and Gname.
		// The os/user functions may fail for any number of reasons
		// (not implemented on that platform, cgo not enabled, etc).
		if u, ok := userMap.Load(h.Uid); ok {
			h.Uname = u.(string)
		} else if u, err := user.LookupId(strconv.Itoa(h.Uid)); err == nil {
			h.Uname = u.Username
			userMap.Store(h.Uid, h.Uname)
		}