fmt.Println(strings.Repeat("=", len(profFName)))
		fmt.Println("")

		for t, stacks := range r {
			if less != 0 && t >= less {
				continue
			}
			if goTime == 0 || math.Abs(float64(t)-float64(goTime)) <= float64(margin) {
				for _, stack := range stacks {
					fmt.Println(stack)
				}
			}
		}
	}

  }

  public void testCheckNonNegative_zeroFloat() {
    MathPreconditions.checkNonNegative("float", 0f);
  }

  public void testCheckNonNegative_maxFloat() {
    MathPreconditions.checkNonNegative("float", Float.MAX_VALUE);
  }

  public void testCheckNonNegative_minFloat() {
    MathPreconditions.checkNonNegative("float", Float.MIN_VALUE);
  }

  public void testCheckNonNegative_positiveFloat() {

	clusterDriveMetrics, err := c.clusterDriveMetrics.Get()
	if err != nil {
		metricsLogIf(ctx, err)
	} else {
		m.Set(configStandardParity, float64(clusterDriveMetrics.storageInfo.Backend.StandardSCParity))
		m.Set(configRRSParity, float64(clusterDriveMetrics.storageInfo.Backend.RRSCParity))
	}

	return nil

	case model.Vector:
		if v.Len() < 1 {
			log.Debugf("no values for query: %s", query)
			return 0, nil
		}

		return float64(v[0].Value), nil
	default:
		return 0, errors.New("bad metric value type returned for query")
	}
}

func convertLatencyToDuration(val float64) time.Duration {
	return time.Duration(val) * time.Millisecond
}

func printHeader(writer io.Writer) {

def get_path_param_gt(item_id: float = Path(gt=3)):
    return item_id


@app.get("/path/param-gt0/{item_id}")
def get_path_param_gt0(item_id: float = Path(gt=0)):
    return item_id


@app.get("/path/param-ge/{item_id}")
def get_path_param_ge(item_id: float = Path(ge=3)):
    return item_id


@app.get("/path/param-lt/{item_id}")
def get_path_param_lt(item_id: float = Path(lt=3)):
    return item_id

  GetDims(theta_tensor, theta_dims.data());

  // Initialize auxilary data structures.
  vector<float> thetaPlus_data(num_elems);
  vector<float> thetaMinus_data(num_elems);
  AbstractTensorHandle* f_outputs[1];

  // Numerical Grad Check
  for (int i = 0; i < num_elems; i++) {
    // Get relative epsilon value
    float epsilon = theta_data[i] == 0 ? 1e-4 : std::abs(theta_data[i] * 1e-4);
    AbstractTensorHandlePtr two_eps;

	out, err := io.ReadAll(r)
	assert.NoError(t, err)

	cases := []struct {
		level string
		msg   string
		key   *float64
	}{
		{"debug", "debug log", nil},
		{"info", "info log", nil},
		{"warn", "warn log", nil},
		{"error", "error log", nil},
		{"info", "with labels", ptr.Of(float64(2))},
	}
	// For each level, there should be two lines, one from direct log,
	// the other one from UDS server

def test_route_converters_float():
    # Test float conversion
    response = client.get("/float/25.5")
    assert response.status_code == 200, response.text
    assert response.json() == {"float": 25.5}
    assert app.url_path_for("float_convertor", param=25.5) == "/float/25.5"  # type: ignore


def test_route_converters_path():
    # Test path conversion

package cmd

import (
	"testing"
	"time"

	"github.com/prometheus/client_golang/prometheus"
)

func TestGetHistogramMetrics(t *testing.T) {
	histBuckets := []float64{0.05, 0.1, 0.25, 0.5, 0.75}
	labels := []string{"GetObject", "PutObject", "CopyObject", "CompleteMultipartUpload"}
	ttfbHist := prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",

		metrics = append(metrics, MetricV2{
			Description:    tierRequestsSuccessMD,
			Value:          float64(stat.success),
			VariableLabels: map[string]string{"tier": tier},
		})
		metrics = append(metrics, MetricV2{
			Description:    tierRequestsFailureMD,
			Value:          float64(stat.failure),
			VariableLabels: map[string]string{"tier": tier},
		})
	}
	return metrics
}