def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo", "password": "secret"}


def test_post_body_form_no_password(client: TestClient):
    response = client.post("/login/", data={"username": "Foo"})
    assert response.status_code == 422
    assert response.json() == IsDict(

 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public class NewCustomTableTest extends AbstractTableTest<Character> {

  @Override
  protected Table<String, Integer, Character> create(@Nullable Object... data) {
    Supplier<TreeMap<Integer, Character>> factory =
        new Supplier<TreeMap<Integer, Character>>() {
          @Override
          public TreeMap<Integer, Character> get() {
            return Maps.newTreeMap();

		return "on"
	}

	return "off"
}

// MarshalJSON - converts BoolFlag into JSON data.
func (bf BoolFlag) MarshalJSON() ([]byte, error) {
	return json.Marshal(bf.String())
}

// UnmarshalJSON - parses given data into BoolFlag.
func (bf *BoolFlag) UnmarshalJSON(data []byte) (err error) {
	var s string
	if err = json.Unmarshal(data, &s); err == nil {
		b := BoolFlag(true)
		if s == "" {
			// Empty string is treated as valid.

                    </mxGeometry>
                </mxCell>

  TFE_MonitoringStringGaugeCellSet(cell2, "str");
  auto* buf = new TF_Buffer;
  TFE_MonitoringStringGaugeCellValue(cell2, buf);
  string data(static_cast<const char*>(buf->data), buf->length);
  TF_DeleteBuffer(buf);
  EXPECT_EQ(data, "str");
  TFE_MonitoringDeleteStringGauge2(gauge2);
  TF_DeleteStatus(status);
}

TEST(CAPI, MonitoringSampler0) {
  TF_Status* status = TF_NewStatus();

        },
    },
)
async def create_item(request: Request):
    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.parse_obj(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors())

        Map<String, Object> data = new HashMap<>();
        data.put("plexus", context.lookup.lookup(PlexusContainer.class));
        data.put("workingDirectory", invokerRequest.cwd().toString());
        data.put("systemProperties", toProperties(invokerRequest.systemProperties()));
        data.put("userProperties", toProperties(invokerRequest.userProperties()));

	z, ok := o.UserDefined[archiveInfoMetadataKey]
	if !ok {
		return nil
	}
	data := []byte(z)
	if v, ok := o.UserDefined[archiveTypeMetadataKey]; ok && v == archiveTypeEnc {
		decrypted, err := o.metadataDecrypter(h)(archiveTypeEnc, data)
		if err != nil {
			encLogIf(GlobalContext, err)
			return nil
		}
		data = decrypted
	}
	return data
}

// Clone - Returns a cloned copy of current objectInfo

@needs_py310
def test_extra_types(client: TestClient):
    item_id = "ff97dd87-a4a5-4a12-b412-cde99f33e00e"
    data = {
        "start_datetime": "2018-12-22T14:00:00+00:00",
        "end_datetime": "2018-12-24T15:00:00+00:00",
        "repeat_at": "15:30:00",
        "process_after": 300,
    }
    expected_response = data.copy()
    expected_response.update(
        {
            "start_process": "2018-12-22T14:05:00+00:00",

   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}