code: def f(self, x: np.ndarray) -> float:
      x1, x2 = x
      return checked_cast(float, branin(x1=x1, x2=x2))
  
file_path: Ax/ax/metrics/branin.py
imports: import numpy
  from ax.metrics.noisy_function import NoisyFunctionMetric
  from ax.utils.common.typeutils import checked_cast
  from ax.utils.measurement.synthetic_functions import aug_branin, branin
label_desc: Use image node_id 1 for calling the BraninMetric obj's underlying member method code with example usage: obj.f(x) and returns: checked_cast