person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()
    assert response.status_code == 200, response.text
    assert data["name"] == person_data["name"]
    assert data["lastname"] == person_data["lastname"]

    }


@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)
def test_required_list_str(path: str):
    client = TestClient(app)
    response = client.post(path, data={"p": ["hello", "world"]})
    assert response.status_code == 200
    assert response.json() == {"p": ["hello", "world"]}


# =====================================================================================
# Alias

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

You can use the Select API to query objects with following features:

            generated OpenAPI, but currently it doesn't affect the parsing of the data.
            """
        ),
    ] = "multipart/form-data",
    alias: Annotated[
        Optional[str],
        Doc(
            """
            An alternative name for the parameter field.

            This will be used to extract the data and for the generated OpenAPI.

 * Implementations can specify how long cached data should be retained.
 *
 * @since 4.0.0
 */
@Experimental
public interface CacheMetadata {

    /**
     * Returns the cache retention that should be applied to the associated data.
     *
     * @return The CacheRetention indicating how long data should be retained, or null if
     *         no specific cache retention is defined
     */

	}

	for _, testCase := range testCases {
		data, _ := testCase.flag.MarshalJSON()
		if testCase.expectedResult != string(data) {
			t.Fatalf("expected: %v, got: %v", testCase.expectedResult, string(data))
		}
	}
}

// Test BoolFlag.UnmarshalJSON()
func TestBoolFlagUnmarshalJSON(t *testing.T) {
	testCases := []struct {
		data           []byte
		expectedResult BoolFlag
		expectedErr    bool
	}{

        WithJsonSchema,
    )

    class FakeNumpyArray:
        def __init__(self):
            self.data = [1.0, 2.0, 3.0]

    FakeNumpyArrayPydantic = Annotated[
        FakeNumpyArray,
        WithJsonSchema(TypeAdapter(list[float]).json_schema()),
        PlainSerializer(lambda v: v.data),
    ]

    class MyModel(BaseModel):
        model_config = ConfigDict(arbitrary_types_allowed=True)

				err = e
			}
		}

		if len(data.err) > 0 && err == nil {
			t.Errorf("callbacks tests #%v should got error %v, but not", idx+1, data.err)
		} else if len(data.err) == 0 && err != nil {
			t.Errorf("callbacks tests #%v should not got error, but got %v", idx+1, err)
		}

		if ok, msg := assertCallbacks(callbacks.Create(), data.results); !ok {
			t.Errorf("callbacks tests #%v failed, got %v", idx+1, msg)

)
def test_post(path):
    data = {"a": 2, "b": "foo"}
    response = client.post(path, json=data)
    assert response.status_code == 200, response.text
    assert data == response.json()


@pytest.mark.parametrize(
    "path", ["/a/compute", "/a/compute/", "/b/compute", "/b/compute/"]
)
def test_post_invalid(path):
    data = {"a": "bar", "b": "foo"}
    response = client.post(path, json=data)

	"http://127.0.0.1:9004/tmp/multisiteb/data/disterasure/xl{5...8}" >/tmp/siteb_1.log 2>&1 &
minio server --address 127.0.0.1:9004 "http://127.0.0.1:9003/tmp/multisiteb/data/disterasure/xl{1...4}" \
	"http://127.0.0.1:9004/tmp/multisiteb/data/disterasure/xl{5...8}" >/tmp/siteb_2.log 2>&1 &

minio server --address 127.0.0.1:9005 "http://127.0.0.1:9005/tmp/multisitec/data/disterasure/xl{1...4}" \