}

    public void setBoost_Equal(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Equal(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setBoost_Term(boost, opLambda);
    }

    public void setBoost_Term(Float boost) {
        setBoost_Term(boost, null);
    }

    public void setBoost_Term(Float boost, ConditionOptionCall<TermQueryBuilder> opLambda) {

            """
        ),
    ] = None,
    gt: Annotated[
        Optional[float],
        Doc(
            """
            Greater than. If set, value must be greater than this. Only applicable to
            numbers.
            """
        ),
    ] = None,
    ge: Annotated[
        Optional[float],
        Doc(
            """

		metrics = append(metrics, MetricV2{
			Description:    getClusterTransitionedBytesMD(),
			Value:          float64(st.TotalSize),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{
			Description:    getClusterTransitionedObjectsMD(),
			Value:          float64(st.NumObjects),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{

from typing_extensions import Annotated

app = FastAPI()


@app.post("/")
async def get(
    x: Annotated[float, Query(allow_inf_nan=True)] = 0,
    y: Annotated[float, Query(allow_inf_nan=False)] = 0,
    z: Annotated[float, Query()] = 0,
    b: Annotated[float, Body(allow_inf_nan=False)] = 0,
) -> str:
    return "OK"


client = TestClient(app)


@pytest.mark.parametrize(

	failures, max := 0, time.Duration(0)
	for _, dur := range entries[:] {
		if dur == maxDuration {
			failures++
		} else if dur > max {
			max = dur
		}
	}

	failPct := float64(failures) / float64(len(entries))

	if failPct > dynamicTimeoutIncreaseThresholdPct {
		// We are hitting the timeout too often, so increase the timeout by 25%
		timeout := atomic.LoadInt64(&dt.timeout) * 125 / 100

TEST_P(GradientCheckerTest, TestMatMul) {
  float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f};
  int64_t A_dims[] = {2, 2};
  AbstractTensorHandlePtr A;
  {
    AbstractTensorHandle* A_raw;
    absl::Status s = TestTensorHandleWithDims<float, TF_FLOAT>(
        ctx_.get(), A_vals, A_dims, 2, &A_raw);
    ASSERT_EQ(errors::OK, s.code()) << s.message();
    A.reset(A_raw);
  }
  float B_vals[] = {.5f, -1.0f, 1.0f, 1.0f};

func (p *Parser) floatExpr() float64 {
	tok := p.next()
	switch tok.ScanToken {
	case '(':
		v := p.floatExpr()
		if p.next().ScanToken != ')' {
			p.errorf("missing closing paren")
		}
		return v
	case '+':
		return +p.floatExpr()
	case '-':
		return -p.floatExpr()
	case scanner.Float:
		return p.atof(tok.String())
	}

				// callhome was disabled or context was canceled
				return
			}

			// callhome running on a different node.
			// sleep for some time and try again.
			duration := time.Duration(r.Float64() * float64(globalCallhomeConfig.FrequencyDur()))
			if duration < time.Second {
				// Make sure to sleep at least a second to avoid high CPU ticks.
				duration = time.Second
			}
			time.Sleep(duration)
		}
	}()
}

class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None
    tags: Set[str] = set()
    images: Union[List[Image], None] = None


class Offer(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    items: List[Item]


@app.post("/offers/")
async def create_offer(offer: Offer):

pkg expvar, func Handler() http.Handler
pkg expvar, method (*Float) Value() float64
pkg expvar, method (Func) Value() interface{}
pkg expvar, method (*Int) Value() int64
pkg expvar, method (*String) Value() string
pkg go/doc, func IsPredeclared(string) bool
pkg go/types, func Default(Type) Type
pkg go/types, func IdenticalIgnoreTags(Type, Type) bool
pkg math/big, method (*Float) Scan(fmt.ScanState, int32) error