code: def deceptivepath(x: np.ndarray) -> float:
      """A function which needs following a long path. Most algorithms fail on this.
  
      The path becomes thiner as we get closer to the optimum."""
      assert len(x) >= 2
      distance = np.sqrt(x[0] ** 2 + x[1] ** 2)
      if distance == 0.0:
          return 0.0
      angle = np.arctan(x[0] / x[1]) if x[1] != 0.0 else np.pi / 2.0
      invdistance = (1.0 / distance) if distance > 0.0 else 0.0
      if np.abs(np.cos(invdistance) - angle) > 0.1:
          return 1.0
      return float(distance)
  
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 27 for calling a global function with example usage: deceptivepath(x) and returns: float, int, int