code: def _styblinksitang(x: np.ndarray, noise: float) -> float:
      """Classical function for testing noisy optimization."""
      x2 = x**2
      val = x2.dot(x2) + np.sum(5 * x - 16 * x2)
      # return a positive value for maximization
      return float(
          39.16599 * len(x)
          + 0.5 * val
          + noise * np.random.normal(size=val.shape)
      )
  
imports: from math import exp, sqrt, tanh
  import numpy
  import nevergrad.common.typing
  from nevergrad.common.decorators import Registry
label_desc: Use image node_id 1 for calling a global function with example usage: _styblinksitang(x, noise) and returns: float