inputXML: ` <Filter>
						<Tag>
							<Key>key1</Key>
							<Value>value1</Value>
						</Tag>
						</Filter>`,
			expectedErr: nil,
		},
		{ // Filter with Prefix tag
			inputXML: ` <Filter>
							<Prefix>key-prefix</Prefix>
						</Filter>`,
			expectedErr: nil,
		},
		{ // Filter without And and multiple Tag tags
			inputXML: ` <Filter>
							<Prefix>key-prefix</Prefix>
							<Tag>

    void testEquals() {
        AndArtifactFilter filter1 = new AndArtifactFilter();

        AndArtifactFilter filter2 = new AndArtifactFilter(Arrays.asList(newSubFilter()));

        assertFalse(filter1.equals(null));
        assertTrue(filter1.equals(filter1));
        assertEquals(filter1.hashCode(), filter1.hashCode());

        assertFalse(filter1.equals(filter2));
        assertFalse(filter2.equals(filter1));
    }

## Use `StaticFiles`

* Importe `StaticFiles`.
* "Monte" uma instância de `StaticFiles()` em um caminho específico.

```Python hl_lines="2  6"
{!../../../docs_src/static_files/tutorial001.py!}
```

!!! note "Detalhes técnicos"
    Você também pode usar `from starlette.staticfiles import StaticFiles`.

    return [pet1, pet2]


client = TestClient(app)


def test_filter_top_level_model():
    response = client.post(
        "/users", json={"email": "******@****.***", "password": "secret"}
    )
    assert response.json() == {"email": "******@****.***"}


def test_filter_second_level_model():
    response = client.get("/pets/1")
    assert response.json() == {

    return [pet1, pet2]


client = TestClient(app)


def test_filter_top_level_model():
    response = client.post(
        "/users", json={"email": "******@****.***", "password": "secret"}
    )
    assert response.json() == {"email": "******@****.***"}


def test_filter_second_level_model():
    response = client.get("/pets/1")
    assert response.json() == {

from ..utils import needs_pydanticv1


@pytest.fixture(name="client")
def get_client():
    from .app_pv1 import app

    client = TestClient(app)
    return client


@needs_pydanticv1
def test_filter_sub_model(client: TestClient):
    response = client.get("/model/modelA")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "name": "modelA",
        "description": "model-a-desc",

# have passed Google's internal style guidelines.
@test "Check pylint for Python files" {
    echo "Python formatting is recommended. Here are the pylint errors:"
    echo "============================="
    grep -e "\.py$" $BATS_FILE_TMPDIR/changed_files > $BATS_TEST_TMPDIR/files || true
    if [[ ! -s $BATS_TEST_TMPDIR/files ]]; then return 0; fi
    xargs -a $BATS_TEST_TMPDIR/files -n1 -P $(nproc --all) \

# have passed Google's internal style guidelines.
@test "Check pylint for Python files" {
    echo "Python formatting is recommended. Here are the pylint errors:"
    echo "============================="
    grep -e "\.py$" $BATS_FILE_TMPDIR/changed_files > $BATS_TEST_TMPDIR/files || true
    if [[ ! -s $BATS_TEST_TMPDIR/files ]]; then return 0; fi
    xargs -a $BATS_TEST_TMPDIR/files -n1 -P $(nproc --all) \

# Files that should be ignored by tools which do not want to consider generated
# code.
#
# https://github.com/kubernetes/test-infra/blob/master/prow/plugins/size/size.go
#
# This file is a series of lines, each of the form:
#     <type> <name>
#
# Type can be:
#    path - an exact path to a single file
#    file-name - an exact leaf filename, regardless of path
#    path-prefix - a prefix match on the file path

     * then the path type is determined by checking if the dependency is modular.</p>
     *
     * @param types types of path where a dependency can be placed
     * @param filter filter the paths accepted by the tool which will consume the path
     * @param path path to the JAR file or output directory of the dependency